new hf cookbook

This commit is contained in:
ishaan-jaff 2023-09-27 11:02:50 -07:00
parent e5ceed4334
commit cf196c61b9

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cookbook/LiteLLM_HuggingFace.ipynb vendored Normal file
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"source": [
"## LiteLLM HuggingFace\n",
"Docs for huggingface: https://docs.litellm.ai/docs/providers/huggingface"
],
"metadata": {
"id": "9dKM5k8qsMIj"
}
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "BVDdmCp-o97j"
},
"outputs": [],
"source": [
"!pip install litellm"
]
},
{
"cell_type": "markdown",
"source": [
"## Hugging Face Free Inference API\n",
"When API base is not set it defaults to sending requests to https://api-inference.huggingface.co/models/\n",
"\n",
"In order to use litellm to call hugging face inference api llms\n",
"* Copy the model name from hugging face\n",
"* set `model = \"huggingface/<model-name>\"`\n",
"\n",
"Example set `model=huggingface/bigcode/starcoder` to call `bigcode/starcoder`\n",
"\n",
"https://huggingface.co/bigcode/starcoder"
],
"metadata": {
"id": "yp5UXRqtpu9f"
}
},
{
"cell_type": "code",
"source": [
"import os\n",
"import litellm\n",
"\n",
"os.environ[\"HUGGINGFACE_API_KEY\"] = \"\"\n",
"\n",
"# Call https://huggingface.co/bigcode/starcoder\n",
"# add the 'huggingface/' prefix to the model to set huggingface as the provider\n",
"response = litellm.completion(\n",
" model=\"huggingface/bigcode/starcoder\",\n",
" messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}]\n",
")\n",
"print(response)\n",
"\n",
"\n",
"# Call https://huggingface.co/codellama/CodeLlama-34b-Instruct-hf\n",
"response = litellm.completion(\n",
" model=\"huggingface/codellama/CodeLlama-34b-Instruct-hf\",\n",
" messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}]\n",
")\n",
"print(response)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Pi5Oww8gpCUm",
"outputId": "659a67c7-f90d-4c06-b94e-2c4aa92d897a"
},
"execution_count": 8,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"{\n",
" \"object\": \"chat.completion\",\n",
" \"choices\": [\n",
" {\n",
" \"finish_reason\": \"stop\",\n",
" \"index\": 0,\n",
" \"message\": {\n",
" \"content\": \" I am fine, thank you. And you?')\\nprint(result)\\n\\n# 2\",\n",
" \"role\": \"assistant\",\n",
" \"logprobs\": null\n",
" }\n",
" }\n",
" ],\n",
" \"id\": \"chatcmpl-982e4cd0-9779-4108-9f7e-d6cbf9b71516\",\n",
" \"created\": 1695835548.2239568,\n",
" \"model\": \"bigcode/starcoder\",\n",
" \"usage\": {\n",
" \"prompt_tokens\": 6,\n",
" \"completion_tokens\": 17,\n",
" \"total_tokens\": 23\n",
" }\n",
"}\n",
"{\n",
" \"object\": \"chat.completion\",\n",
" \"choices\": [\n",
" {\n",
" \"finish_reason\": \"stop\",\n",
" \"index\": 0,\n",
" \"message\": {\n",
" \"content\": \"Hello! I'm doing well, thank you for asking. It's nice to meet you\",\n",
" \"role\": \"assistant\",\n",
" \"logprobs\": null\n",
" }\n",
" }\n",
" ],\n",
" \"id\": \"chatcmpl-6622d64d-e9fc-4a46-9ca7-b2d011f6968c\",\n",
" \"created\": 1695835549.2932954,\n",
" \"model\": \"codellama/CodeLlama-34b-Instruct-hf\",\n",
" \"usage\": {\n",
" \"prompt_tokens\": 12,\n",
" \"completion_tokens\": 18,\n",
" \"total_tokens\": 30\n",
" }\n",
"}\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"## HuggingFace - Deployed Inference Endpoints\n",
"Steps to use\n",
"* set `api_base` to your deployed api base\n",
"* Add the `huggingface/` prefix to your model so litellm knows it's a huggingface Deployed Inference Endpoint"
],
"metadata": {
"id": "-klhAhjLtclv"
}
},
{
"cell_type": "code",
"source": [
"import os\n",
"import litellm\n",
"\n",
"os.environ[\"HUGGINGFACE_API_KEY\"] = \"\"\n",
"\n",
"# Call https://huggingface.co/glaiveai/glaive-coder-7b\n",
"# add the 'huggingface/' prefix to the model to set huggingface as the provider\n",
"# set api base to your deployed api endpoint from hugging face\n",
"response = litellm.completion(\n",
" model=\"huggingface/aws-glaive-coder-7b-0998\",\n",
" messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}],\n",
" api_base=\"https://wjiegasee9bmqke2.us-east-1.aws.endpoints.huggingface.cloud\"\n",
")\n",
"print(response)\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Lbmw8Gl_pHns",
"outputId": "60b3067f-4569-4606-bb08-a186bfdbaecc"
},
"execution_count": 11,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"{\n",
" \"object\": \"chat.completion\",\n",
" \"choices\": [\n",
" {\n",
" \"finish_reason\": \"length\",\n",
" \"index\": 0,\n",
" \"message\": {\n",
" \"content\": \"\\n\\nI am doing well, thank you for asking. How about you?\\nI am doing\",\n",
" \"role\": \"assistant\",\n",
" \"logprobs\": -8.9481967812\n",
" }\n",
" }\n",
" ],\n",
" \"id\": \"chatcmpl-b4fb54a7-e4f3-476a-8e2b-3d1745f5c8a5\",\n",
" \"created\": 1695837218.8811502,\n",
" \"model\": \"aws-glaive-coder-7b-0998\",\n",
" \"usage\": {\n",
" \"prompt_tokens\": 6,\n",
" \"completion_tokens\": 18,\n",
" \"total_tokens\": 24\n",
" }\n",
"}\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"## HuggingFace - Deployed Inference Endpoints + Streaming\n",
"Set stream = True"
],
"metadata": {
"id": "EU0UubrKzTFe"
}
},
{
"cell_type": "code",
"source": [
"import os\n",
"import litellm\n",
"\n",
"os.environ[\"HUGGINGFACE_API_KEY\"] = \"\"\n",
"\n",
"# Call https://huggingface.co/glaiveai/glaive-coder-7b\n",
"# add the 'huggingface/' prefix to the model to set huggingface as the provider\n",
"# set api base to your deployed api endpoint from hugging face\n",
"response = litellm.completion(\n",
" model=\"huggingface/aws-glaive-coder-7b-0998\",\n",
" messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}],\n",
" api_base=\"https://wjiegasee9bmqke2.us-east-1.aws.endpoints.huggingface.cloud\",\n",
" stream=True\n",
")\n",
"print(response)\n",
"\n",
"for chunk in response:\n",
" print(chunk)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "y-QfIvA-uJKX",
"outputId": "b007bb98-00d0-44a4-8264-c8a2caed6768"
},
"execution_count": 12,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"<litellm.utils.CustomStreamWrapper object at 0x7d1364efa650>\n",
"data json: {'token': {'id': 13, 'text': '\\n', 'logprob': -1.4355469, 'special': False}, 'generated_text': None, 'details': None}\n",
"{\n",
" \"object\": \"chat.completion.chunk\",\n",
" \"choices\": [\n",
" {\n",
" \"finish_reason\": null,\n",
" \"index\": 0,\n",
" \"delta\": {\n",
" \"content\": \"\\n\",\n",
" \"role\": \"assistant\"\n",
" }\n",
" }\n",
" ],\n",
" \"id\": \"chatcmpl-b581bf7e-e20d-46fd-9ca0-b38870db3f3c\",\n",
" \"created\": 1695837652,\n",
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" \"usage\": {\n",
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" }\n",
"}\n",
"data json: {'token': {'id': 13, 'text': '\\n', 'logprob': -1.9277344, 'special': False}, 'generated_text': None, 'details': None}\n",
"{\n",
" \"object\": \"chat.completion.chunk\",\n",
" \"choices\": [\n",
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" \"finish_reason\": null,\n",
" \"index\": 0,\n",
" \"delta\": {\n",
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" }\n",
" }\n",
" ],\n",
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" \"created\": 1695837653,\n",
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" \"usage\": {\n",
" \"prompt_tokens\": null,\n",
" \"completion_tokens\": null,\n",
" \"total_tokens\": null\n",
" }\n",
"}\n",
"data json: {'token': {'id': 29902, 'text': 'I', 'logprob': -1.4570312, 'special': False}, 'generated_text': None, 'details': None}\n",
"{\n",
" \"object\": \"chat.completion.chunk\",\n",
" \"choices\": [\n",
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" \"index\": 0,\n",
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" \"content\": \"I\"\n",
" }\n",
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" }\n",
"}\n",
"data json: {'token': {'id': 626, 'text': ' am', 'logprob': -0.70703125, 'special': False}, 'generated_text': None, 'details': None}\n",
"{\n",
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" \"choices\": [\n",
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"}\n",
"data json: {'token': {'id': 2599, 'text': ' doing', 'logprob': -1.0107422, 'special': False}, 'generated_text': None, 'details': None}\n",
"{\n",
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" \"choices\": [\n",
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"data json: {'token': {'id': 1532, 'text': ' well', 'logprob': -0.43603516, 'special': False}, 'generated_text': None, 'details': None}\n",
"{\n",
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" \"choices\": [\n",
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"}\n",
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"}\n",
"data json: {'token': {'id': 29889, 'text': '.', 'logprob': -0.07635498, 'special': False}, 'generated_text': None, 'details': None}\n",
"{\n",
" \"object\": \"chat.completion.chunk\",\n",
" \"choices\": [\n",
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"}\n",
"data json: {'token': {'id': 1128, 'text': ' How', 'logprob': -0.46557617, 'special': False}, 'generated_text': None, 'details': None}\n",
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"{\n",
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"{\n",
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" }\n",
"}\n",
"data json: {'token': {'id': 29902, 'text': 'I', 'logprob': -0.17321777, 'special': False}, 'generated_text': None, 'details': None}\n",
"{\n",
" \"object\": \"chat.completion.chunk\",\n",
" \"choices\": [\n",
" {\n",
" \"finish_reason\": null,\n",
" \"index\": 0,\n",
" \"delta\": {\n",
" \"content\": \"I\"\n",
" }\n",
" }\n",
" ],\n",
" \"id\": \"chatcmpl-af84f782-a682-4660-86ba-da1ad71f5c93\",\n",
" \"created\": 1695837654,\n",
" \"model\": \"aws-glaive-coder-7b-0998\",\n",
" \"usage\": {\n",
" \"prompt_tokens\": null,\n",
" \"completion_tokens\": null,\n",
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" }\n",
"}\n",
"data json: {'token': {'id': 626, 'text': ' am', 'logprob': -0.38891602, 'special': False}, 'generated_text': None, 'details': None}\n",
"{\n",
" \"object\": \"chat.completion.chunk\",\n",
" \"choices\": [\n",
" {\n",
" \"finish_reason\": null,\n",
" \"index\": 0,\n",
" \"delta\": {\n",
" \"content\": \" am\"\n",
" }\n",
" }\n",
" ],\n",
" \"id\": \"chatcmpl-3d4e01aa-4d56-4b98-be8f-8f9a6a4e0856\",\n",
" \"created\": 1695837654,\n",
" \"model\": \"aws-glaive-coder-7b-0998\",\n",
" \"usage\": {\n",
" \"prompt_tokens\": null,\n",
" \"completion_tokens\": null,\n",
" \"total_tokens\": null\n",
" }\n",
"}\n",
"data json: {'token': {'id': 2599, 'text': ' doing', 'logprob': -0.4243164, 'special': False}, 'generated_text': '\\n\\nI am doing well, thank you for asking. How about you?\\nI am doing', 'details': {'finish_reason': 'length', 'generated_tokens': 20, 'seed': None}}\n",
"{\n",
" \"object\": \"chat.completion.chunk\",\n",
" \"choices\": [\n",
" {\n",
" \"finish_reason\": \"length\",\n",
" \"index\": 0,\n",
" \"delta\": {\n",
" \"content\": \" doing\"\n",
" }\n",
" }\n",
" ],\n",
" \"id\": \"chatcmpl-18583fad-c957-432e-9a62-5620620271a2\",\n",
" \"created\": 1695837654,\n",
" \"model\": \"aws-glaive-coder-7b-0998\",\n",
" \"usage\": {\n",
" \"prompt_tokens\": null,\n",
" \"completion_tokens\": null,\n",
" \"total_tokens\": null\n",
" }\n",
"}\n"
]
}
]
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "CKXAnK55zQRl"
},
"execution_count": null,
"outputs": []
}
]
}