Qwen model example (#9516)

added an example for `Qwen-7B` model on `HugginfFaceHub` 🤗
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Leonid Ganeline 2023-08-20 17:21:45 -07:00 committed by GitHub
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@ -44,7 +44,7 @@
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@ -66,7 +66,7 @@
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@ -86,7 +86,7 @@
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@ -96,7 +96,7 @@
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@ -358,10 +358,48 @@
"print(llm_chain.run(question))"
]
},
{
"cell_type": "markdown",
"id": "4f2e5132-1713-42d7-919a-8c313744ce95",
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"source": [
"### `Qwen`, by `Alibaba Cloud`\n",
"\n",
">`Tongyi Qianwen-7B` (`Qwen-7B`) is a model with a scale of 7 billion parameters in the `Tongyi Qianwen` large model series developed by `Alibaba Cloud`. `Qwen-7B` is a large language model based on Transformer, which is trained on ultra-large-scale pre-training data.\n",
"\n",
"See [more information on HuggingFace](https://huggingface.co/Qwen/Qwen-7B) of on [GitHub](https://github.com/QwenLM/Qwen-7B).\n",
"\n",
"See here a [big example for LangChain integration and Qwen](https://github.com/QwenLM/Qwen-7B/blob/main/examples/langchain_tooluse.ipynb)."
]
},
{
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"id": "f598b1ca-77c7-40f1-a83f-c21ea9910c88",
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"source": [
"repo_id = \"Qwen/Qwen-7B\""
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a80bc30a-4040-417f-8094-d2c81c423b76",
"id": "2c97f4e2-d401-44fb-9da7-b60b2e2cc663",
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"source": [
"llm = HuggingFaceHub(\n",
" repo_id=repo_id, model_kwargs={\"max_length\": 128, \"temperature\": 0.5}\n",
")\n",
"llm_chain = LLMChain(prompt=prompt, llm=llm)\n",
"print(llm_chain.run(question))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1dd67c1e-1efc-4def-bde4-2e5265725303",
"metadata": {},
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"source": []