docs: add links to README

Author: OlivierDehaene

README.md

@@ -59,17 +59,17 @@ You can use any BERT or XLM-RoBERTa model with absolute positions in `text-embed
 
 Examples of supported models:
 
-| MTEB Rank | Model Type   | Model ID                       | 
-|-----------|--------------|--------------------------------|
-| 1         | Bert         | BAAI/bge-large-en-v1.5         |
-| 2         |              | BAAI/bge-base-en-v1.5          |
-| 3         |              | llmrails/ember-v1              |
-| 4         |              | thenlper/gte-large             |
-| 5         |              | thenlper/gte-base              |
-| 6         |              | intfloat/e5-large-v2           |
-| 7         |              | BAAI/bge-small-en-v1.5         |
-| 10        |              | intfloat/e5-base-v2            |
-| 11        | XLM-RoBERTa  | intfloat/multilingual-e5-large |
+| MTEB Rank | Model Type   | Model ID                                                                       | 
+|-----------|--------------|--------------------------------------------------------------------------------|
+| 1         | Bert         | [BAAI/bge-large-en-v1.5](https://hf.co/BAAI/bge-large-en-v1.5)                 |
+| 2         |              | [BAAI/bge-base-en-v1.5](https://hf.co/BAAI/bge-base-en-v1.5)                   |
+| 3         |              | [llmrails/ember-v1](https://hf.co/llmrails/ember-v1)                           |
+| 4         |              | [thenlper/gte-large](https://hf.co/thenlper/gte-large)                         |
+| 5         |              | [thenlper/gte-base](https://hf.co/thenlper/gte-base)                           |
+| 6         |              | [intfloat/e5-large-v2](https://hf.co/intfloat/e5-large-v2)                     |
+| 7         |              | [BAAI/bge-small-en-v1.5](https://hf.co/BAAI/bge-small-en-v1.5)                 |
+| 10        |              | [intfloat/e5-base-v2](https://hf.co/intfloat/e5-base-v2)                       |
+| 11        | XLM-RoBERTa  | [intfloat/multilingual-e5-large](https://hf.co/intfloat/multilingual-e5-large) |
 
 
 You can explore the list of best performing text embeddings models [here](https://huggingface.co/spaces/mteb/leaderboard).