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Llama3-ChatQA-1.5-8B

Text Generation

Inference Endpoints

text-generation-inference

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zihanliu commited on May 2

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@@ -104,7 +104,7 @@ print(tokenizer.decode(response, skip_special_tokens=True))
 ```
 ### run retrieval to get top-n chunks as context
-This can be applied to the scenario when the document is very long, so that it is necessary to run retrieval. Here, we use our [Dragon-multiturn](https://huggingface.co/nvidia/dragon-multiturn-query-encoder) retriever which can handle conversatinoal query. In addition, we provide a few [documents]() for users to play with.
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM, AutoModel

 ```
 ### run retrieval to get top-n chunks as context
+This can be applied to the scenario when the document is very long, so that it is necessary to run retrieval. Here, we use our [Dragon-multiturn](https://huggingface.co/nvidia/dragon-multiturn-query-encoder) retriever which can handle conversatinoal query. In addition, we provide a few [documents](https://huggingface.co/nvidia/ChatQA-1.5-8B/tree/main/docs) for users to play with.
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM, AutoModel