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https://github.com/hwchase17/langchain
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Update Hugging Face Hub notebook (#7236)
Description: `flan-t5-xl` hangs, updated to `flan-t5-xxl`. Tested all stabilityai LLMs- all hang so removed from tutorial. Temperature > 0 to prevent unintended determinism. Issue: #3275 Tag maintainer: @baskaryan
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@ -82,9 +82,9 @@
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"source": [
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"source": [
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"from langchain import HuggingFaceHub\n",
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"from langchain import HuggingFaceHub\n",
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"\n",
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"\n",
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"repo_id = \"google/flan-t5-xl\" # See https://huggingface.co/models?pipeline_tag=text-generation&sort=downloads for some other options\n",
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"repo_id = \"google/flan-t5-xxl\" # See https://huggingface.co/models?pipeline_tag=text-generation&sort=downloads for some other options\n",
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"\n",
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"\n",
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"llm = HuggingFaceHub(repo_id=repo_id, model_kwargs={\"temperature\": 0, \"max_length\": 64})"
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"llm = HuggingFaceHub(repo_id=repo_id, model_kwargs={\"temperature\": 0.5, \"max_length\": 64})"
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]
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@ -118,51 +118,6 @@
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"Below are some examples of models you can access through the Hugging Face Hub integration."
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"Below are some examples of models you can access through the Hugging Face Hub integration."
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]
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"attachments": {},
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"cell_type": "markdown",
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"id": "4fa9337e-ccb5-4c52-9b7c-1653148bc256",
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"metadata": {},
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"source": [
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"### StableLM, by Stability AI\n",
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"\n",
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"See [Stability AI's](https://huggingface.co/stabilityai) organization page for a list of available models."
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]
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"cell_type": "code",
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"execution_count": null,
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"id": "36a1ce01-bd46-451f-8ee6-61c8f4bd665a",
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"metadata": {},
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"outputs": [],
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"source": [
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"repo_id = \"stabilityai/stablelm-tuned-alpha-3b\"\n",
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"# Others include stabilityai/stablelm-base-alpha-3b\n",
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"# as well as 7B parameter versions"
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]
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"cell_type": "code",
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"execution_count": null,
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"id": "b5654cea-60b0-4f40-ab34-06ba1eca810d",
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"metadata": {},
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"outputs": [],
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"source": [
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"llm = HuggingFaceHub(repo_id=repo_id, model_kwargs={\"temperature\": 0, \"max_length\": 64})"
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]
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"cell_type": "code",
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"execution_count": null,
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"id": "2f19d0dc-c987-433f-a8d6-b1214e8ee067",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Reuse the prompt and question from above.\n",
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"llm_chain = LLMChain(prompt=prompt, llm=llm)\n",
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"print(llm_chain.run(question))"
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]
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},
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"attachments": {},
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"cell_type": "markdown",
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"cell_type": "markdown",
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@ -185,7 +140,7 @@
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"\n",
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"\n",
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"repo_id = \"databricks/dolly-v2-3b\"\n",
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"repo_id = \"databricks/dolly-v2-3b\"\n",
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"\n",
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"\n",
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"llm = HuggingFaceHub(repo_id=repo_id, model_kwargs={\"temperature\": 0, \"max_length\": 64})"
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"llm = HuggingFaceHub(repo_id=repo_id, model_kwargs={\"temperature\": 0.5, \"max_length\": 64})"
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]
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]
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@ -225,7 +180,7 @@
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"from langchain import HuggingFaceHub\n",
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"from langchain import HuggingFaceHub\n",
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"\n",
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"\n",
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"repo_id = \"Writer/camel-5b-hf\" # See https://huggingface.co/Writer for other options\n",
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"repo_id = \"Writer/camel-5b-hf\" # See https://huggingface.co/Writer for other options\n",
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"llm = HuggingFaceHub(repo_id=repo_id, model_kwargs={\"temperature\": 0, \"max_length\": 64})"
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"llm = HuggingFaceHub(repo_id=repo_id, model_kwargs={\"temperature\": 0.5, \"max_length\": 64})"
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]
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]
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},
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