use huggingface model but meet below error

[itech001]

code:
`hf_model_name = 'StabilityAI/stablelm-tuned-alpha-3b'
tokenizer_kwargs = {'padding':'longest',"max_length": 4096}
tokenizer = AutoTokenizer.from_pretrained(hf_model_name,**tokenizer_kwargs)
if tokenizer.pad_token is None:
tokenizer.add_special_tokens({'pad_token': '[PAD]'})
#tokenizer.add_special_tokens({'pad_token': '[PAD]'})
#tokenizer.pad_token = tokenizer.eos_token
#print(tokenizer)
set_global_tokenizer(tokenizer.encode)

llm = HuggingFaceLLM(model_name=hf_model_name,
tokenizer_name=hf_model_name,
tokenizer = tokenizer,
context_window=4096,
max_new_tokens=512,
generate_kwargs={"temperature": 0.8, "do_sample": True, "top_p":0.95, "top_k":20},
device_map="auto",
#stopping_ids=[50278, 50279, 50277, 1, 0],
model_kwargs={"trust_remote_code" : True},
#tokenizer_kwargs=tokenizer_kwargs,
# uncomment this if using CUDA to reduce memory usage
#model_kwargs={"torch_dtype": torch.float16, "trust_remote_code" :True}
)`

alueError: Asking to pad but the tokenizer does not have a padding token. Please select a token to use as pad_token (tokenizer.pad_token = tokenizer.eos_token e.g.) or add a new pad token via tokenizer.add_special_tokens({'pad_token': '[PAD]'}).

[dosubot[bot]]

🤖

It looks like you're encountering an error related to padding while using the Hugging Face model. The error message suggests that the tokenizer does not have a padding token defined.

To address this issue, you can add a new pad token to the tokenizer by using the following code:

tokenizer.add_special_tokens({'pad_token': '[PAD]'})

You can uncomment the line tokenizer.add_special_tokens({'pad_token': '[PAD]'}) in your code and remove the line if tokenizer.pad_token is None: to ensure that the padding token is properly added to the tokenizer.

Once you make this change, you can try running the code again to see if the issue is resolved. If you encounter any further challenges, feel free to ask for assistance. And if you have a proposed solution or fix, consider contributing it to the LlamaIndex by creating a pull request. Your contributions are valuable to the community!

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[itech001]

doesn't work