Datasets
Models
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"Collecting llama-index\n",
" Downloading llama_index-0.10.32-py3-none-any.whl (6.9 kB)\n",
"Collecting llama-index-agent-openai<0.3.0,>=0.1.4 (from llama-index)\n",
" Downloading llama_index_agent_openai-0.2.3-py3-none-any.whl (13 kB)\n",
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"Installing collected packages: striprtf, dirtyjson, pypdf, mypy-extensions, multidict, marshmallow, h11, greenlet, frozenlist, deprecated, async-timeout, yarl, typing-inspect, tiktoken, SQLAlchemy, httpcore, aiosignal, httpx, dataclasses-json, aiohttp, openai, llamaindex-py-client, llama-index-legacy, llama-index-core, llama-parse, llama-index-readers-file, llama-index-llms-openai, llama-index-indices-managed-llama-cloud, llama-index-embeddings-openai, llama-index-readers-llama-parse, llama-index-multi-modal-llms-openai, llama-index-cli, llama-index-agent-openai, llama-index-program-openai, llama-index-question-gen-openai, llama-index\n",
"Successfully installed SQLAlchemy-2.0.29 aiohttp-3.9.5 aiosignal-1.3.1 async-timeout-4.0.3 dataclasses-json-0.6.4 deprecated-1.2.14 dirtyjson-1.0.8 frozenlist-1.4.1 greenlet-3.0.3 h11-0.14.0 httpcore-1.0.5 httpx-0.27.0 llama-index-0.10.32 llama-index-agent-openai-0.2.3 llama-index-cli-0.1.12 llama-index-core-0.10.32 llama-index-embeddings-openai-0.1.9 llama-index-indices-managed-llama-cloud-0.1.6 llama-index-legacy-0.9.48 llama-index-llms-openai-0.1.16 llama-index-multi-modal-llms-openai-0.1.5 llama-index-program-openai-0.1.6 llama-index-question-gen-openai-0.1.3 llama-index-readers-file-0.1.19 llama-index-readers-llama-parse-0.1.4 llama-parse-0.4.2 llamaindex-py-client-0.1.19 marshmallow-3.21.1 multidict-6.0.5 mypy-extensions-1.0.0 openai-1.23.6 pypdf-4.2.0 striprtf-0.0.26 tiktoken-0.6.0 typing-inspect-0.9.0 yarl-1.9.4\n",
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"Installing collected packages: sentence-transformers, llama-index-embeddings-huggingface\n",
"Successfully installed llama-index-embeddings-huggingface-0.2.0 sentence-transformers-2.7.0\n"
]
}
],
"source": [
"!pip install llama-index\n",
"!pip install llama-index-llms-huggingface\n",
"!pip install llama-index-embeddings-huggingface"
]
},
{
"cell_type": "code",
"source": [
"from transformers import AutoTokenizer\n",
"\n",
"tokenizer = AutoTokenizer.from_pretrained(\n",
" \"meta-llama/Meta-Llama-3-70B-Instruct\"\n",
")\n",
"\n",
"stopping_ids = [\n",
" tokenizer.eos_token_id,\n",
" tokenizer.convert_tokens_to_ids(\"<|eot_id|>\"),\n",
"]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 261,
"referenced_widgets": [
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]
},
"id": "14a-oO8_wVJI",
"outputId": "45080b62-420d-4953-b339-6a45e754b118"
},
"execution_count": 6,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:88: UserWarning: \n",
"The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
"To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
"You will be able to reuse this secret in all of your notebooks.\n",
"Please note that authentication is recommended but still optional to access public models or datasets.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"tokenizer_config.json: 0%| | 0.00/51.0k [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "c4862568fe9f41e982b2a9c152d4e477"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"tokenizer.json: 0%| | 0.00/9.09M [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "1230a79bc0204969a051ee83e438ec5a"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"special_tokens_map.json: 0%| | 0.00/73.0 [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "dbf124a98da54f96bb079558c41b8650"
}
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# generate_kwargs parameters are taken from https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct\n",
"\n",
"from llama_index.llms.huggingface import HuggingFaceLLM\n",
"\n",
"llm = HuggingFaceLLM(\n",
" model_name=\"meta-llama/Meta-Llama-3-70B-Instruct\",\n",
" generate_kwargs={\n",
" \"do_sample\": True,\n",
" \"temperature\": 0.6,\n",
" \"top_p\": 0.9,\n",
" },\n",
" tokenizer_name=\"meta-llama/Meta-Llama-3-70B-Instruct\",\n",
" stopping_ids=stopping_ids,\n",
")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1175,
"referenced_widgets": [
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"text": [
"Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n"
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},
{
"cell_type": "code",
"source": [
"from llama_index.core import VectorStoreIndex, SimpleDirectoryReader\n",
"\n",
"documents = SimpleDirectoryReader(\"/content/drive/MyDrive/Future 10/heart+disease\").load_data()"
],
"metadata": {
"id": "Ii1Y0DbZw1iO"
},
"execution_count": 8,
"outputs": []
},
{
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"from llama_index.embeddings.huggingface import HuggingFaceEmbedding\n",
"\n",
"embed_model = HuggingFaceEmbedding(model_name=\"BAAI/bge-small-en-v1.5\")"
],
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},
"outputId": "2ed534f7-df5b-4efc-8ede-051a9f78ce8f"
},
"execution_count": 9,
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{
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},
{
"cell_type": "code",
"source": [
"from llama_index.core import Settings\n",
"\n",
"# bge embedding model\n",
"Settings.embed_model = embed_model\n",
"\n",
"# Llama-3-8B-Instruct model\n",
"Settings.llm = llm"
],
"metadata": {
"id": "QNPvakaAw_dR"
},
"execution_count": 10,
"outputs": []
},
{
"cell_type": "code",
"source": [
"index = VectorStoreIndex.from_documents(\n",
" documents,\n",
")"
],
"metadata": {
"id": "lo4B_AfixC8g"
},
"execution_count": 11,
"outputs": []
},
{
"cell_type": "code",
"source": [
"query_engine = index.as_query_engine(similarity_top_k=3)"
],
"metadata": {
"id": "oUrZrsuUxFfh"
},
"execution_count": 12,
"outputs": []
},
{
"cell_type": "code",
"source": [
"response = query_engine.query(\"What happened to the cleveland.data file?\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 0
},
"outputId": "4377445c-f7af-4f8c-82ac-3a670d709057",
"id": "Enpb6n2GGAAB"
},
"execution_count": 13,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"print(response)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 0
},
"outputId": "310a2729-b82e-452c-ec16-206298ce443e",
"id": "kGxMMLtzGAAC"
},
"execution_count": 14,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
" The cleveland.data file was messed up when it was loaded on node ics after node cip2 went down.\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"from google.colab import runtime\n",
"runtime.unassign()"
],
"metadata": {
"id": "yhY0ESs9ognH"
},
"execution_count": null,
"outputs": []
}
]
}