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removal of extra spaces and some additional getpasses
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15 files changed

+164
-196
lines changed

15 files changed

+164
-196
lines changed

‎examples/annotation_types/basics.ipynb

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"from PIL import Image\n",
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"from io import BytesIO\n",
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"import numpy as np\n",
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"from getpass import getpass\n",
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"import os"
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]
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},
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"dataset.delete()\n",
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"project.delete()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 44,
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"id": "liberal-programming",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 45,
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"id": "searching-theorem",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 46,
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"id": "progressive-courage",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 47,
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"id": "asian-album",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {

‎examples/annotation_types/converters.ipynb

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"import IPython\n",
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"import numpy as np\n",
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"from PIL import Image\n",
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"from getpass import getpass\n",
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"import os\n",
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"import cv2"
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]
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"source": [
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"* See how this is used with mal in the `mal_using_annotation_types.ipynb` notebook"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"id": "placed-danger",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {

‎examples/annotation_types/label_containers.ipynb

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" ClassificationAnnotation)\n",
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"import requests\n",
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"import numpy as np\n",
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"from getpass import getpass\n",
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"import os"
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]
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},
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"dataset.delete()\n",
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"project.delete()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 27,
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"id": "accepted-merchandise",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"id": "foreign-berkeley",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {

‎examples/basics/basics.ipynb

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"* We reccomend using bulk operations where possible.\n",
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"* You can find specific deletion instructions in tutorials on each object."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"id": "thirty-interval",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {

‎examples/label_export/images.ipynb

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" thickness=5)\n",
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"Image.fromarray(image_np.astype(np.uint8))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "disabled-friend",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {

‎examples/label_export/text.ipynb

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"metadata": {},
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"outputs": [],
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"source": [
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"!pip install labelbox\n",
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"!pip install requests"
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"!pip install labelbox"
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]
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},
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{
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"source": [
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"Counter(orgs)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"id": "abandoned-knight",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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"metadata": {

‎examples/label_export/video.ipynb

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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": null,
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"id": "located-egyptian",
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"metadata": {},
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"outputs": [],
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"source": [
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"!pip install labelbox\n",
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"!pip install numpy\n",
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"!pip install matplotlib\n",
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"!pip install ipython"
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"!pip install -q labelbox numpy matplotlib ipython"
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]
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},
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{
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" clear_output(wait=True)\n",
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" image = image[:, :, ::-1]"
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]
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"cell_type": "code",
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"execution_count": 16,
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"id": "aware-april",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"id": "steady-siemens",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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"cell_type": "code",
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"execution_count": 18,
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"id": "hourly-seafood",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.2"
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"version": "3.9.2"
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}
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},
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"nbformat": 4,

‎examples/model_assisted_labeling/image_mal.ipynb

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}
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],
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"source": []
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"cell_type": "code",
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"execution_count": 18,
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"id": "missing-decline",
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"outputs": [],
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"source": []
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}
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‎examples/model_assisted_labeling/mal_with_subclasses.ipynb

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"source": [
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"#We can see that the upload worked. Although our heuristic or the model made a mistake."
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"cell_type": "code",
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"id": "coral-excitement",
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"outputs": [],
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}
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"metadata": {

‎examples/model_assisted_labeling/ner_mal.ipynb

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}
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],
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"source": [
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"!pip -q install labelbox\n",
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"!pip -q install flair\n",
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"!pip -q install wikipedia-api\n",
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"!pip -q install labelbox flair wikipedia-api\n",
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"# ** Install will take a while **"
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]
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},
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}
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],
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"source": []
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"cell_type": "code",
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"execution_count": 16,
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"id": "latin-display",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {

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