text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
from __future__ import annotations
from abc import ABC, abstractmethod
from typing import List, Sequence, Union
from langchain_core.messages import (
AIMessage,
BaseMessage,
HumanMessage,
get_buffer_string,
)
from langchain_core.runnables import run_in_executor
class BaseChatMessageHistory(ABC):
... | langchain/libs/core/langchain_core/chat_history.py/0 | {
"file_path": "langchain/libs/core/langchain_core/chat_history.py",
"repo_id": "langchain",
"token_count": 2338
} | 429 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querycoordv2/utils/meta_test.go/0 | {
"file_path": "milvus/internal/querycoordv2/utils/meta_test.go",
"repo_id": "milvus",
"token_count": 3024
} | 2,038 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "vectorstores/myscale",
});
export * from "@langchain/community/vectorstores/myscale";
| langchainjs/langchain/src/vectorstores/myscale.ts/0 | {
"file_path": "langchainjs/langchain/src/vectorstores/myscale.ts",
"repo_id": "langchainjs",
"token_count": 74
} | 951 |
from llama_index.llms.everlyai.base import EverlyAI
__all__ = ["EverlyAI"]
| llama_index/llama-index-integrations/llms/llama-index-llms-everlyai/llama_index/llms/everlyai/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-everlyai/llama_index/llms/everlyai/__init__.py",
"repo_id": "llama_index",
"token_count": 30
} | 1,307 |
python_sources()
| llama_index/llama-index-core/llama_index/core/indices/struct_store/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/struct_store/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,125 |
python_tests()
| llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-redis/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-redis/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,465 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querynodev2/segments/load_index_info.go/0 | {
"file_path": "milvus/internal/querynodev2/segments/load_index_info.go",
"repo_id": "milvus",
"token_count": 2888
} | 1,910 |
# coding=utf-8
# Copyright 2018 The OpenAI Team Authors and HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License... | transformers/src/transformers/models/gpt2/configuration_gpt2.py/0 | {
"file_path": "transformers/src/transformers/models/gpt2/configuration_gpt2.py",
"repo_id": "transformers",
"token_count": 5141
} | 693 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querycoordv2/mocks/querynode.go/0 | {
"file_path": "milvus/internal/querycoordv2/mocks/querynode.go",
"repo_id": "milvus",
"token_count": 2218
} | 1,863 |
from typing import Any
import pytest
from langchain_community.vectorstores.redis import (
RedisNum as Num,
)
from langchain_community.vectorstores.redis import (
RedisTag as Tag,
)
from langchain_community.vectorstores.redis import (
RedisText as Text,
)
# Test cases for various tag scenarios
@pytest.ma... | langchain/libs/community/tests/unit_tests/vectorstores/redis/test_filters.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/vectorstores/redis/test_filters.py",
"repo_id": "langchain",
"token_count": 2813
} | 417 |
# Zep Reader
The Zep Reader returns a set of texts corresponding to a text query or embeddings retrieved from a Zep Collection.
The Reader is initialized with a Zep API URL and optionally an API key. The Reader can then be used to load data
from a Zep Document Collection.
## About Zep
Zep is a long-term memory store... | llama_index/llama-index-integrations/readers/llama-index-readers-zep/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-zep/README.md",
"repo_id": "llama_index",
"token_count": 944
} | 1,453 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-clickhouse/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-clickhouse/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,453 |
{
"$schema": "https://vega.github.io/schema/vega-lite/v4.json",
"data": {
"values": "<DVC_METRIC_DATA>"
},
"title": "<DVC_METRIC_TITLE>",
"mark": {
"type": "line"
},
"encoding": {
"x": {
"field": "<DVC_METRIC_X>",
"type": "quantitative",
... | datasets/.dvc/plots/smooth.json/0 | {
"file_path": "datasets/.dvc/plots/smooth.json",
"repo_id": "datasets",
"token_count": 569
} | 108 |
from ...utils import is_flax_available, is_torch_available
if is_torch_available():
from .unet_1d import UNet1DModel
from .unet_2d import UNet2DModel
from .unet_2d_condition import UNet2DConditionModel
from .unet_3d_condition import UNet3DConditionModel
from .unet_i2vgen_xl import I2VGenXLUNet
... | diffusers/src/diffusers/models/unets/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/models/unets/__init__.py",
"repo_id": "diffusers",
"token_count": 245
} | 239 |
from rag_opensearch.chain import chain
__all__ = ["chain"]
| langchain/templates/rag-opensearch/rag_opensearch/__init__.py/0 | {
"file_path": "langchain/templates/rag-opensearch/rag_opensearch/__init__.py",
"repo_id": "langchain",
"token_count": 20
} | 740 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/transfo-xl.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/transfo-xl.md",
"repo_id": "transformers",
"token_count": 1988
} | 457 |
#!/bin/bash
source ~/.bashrc
echo "running docker-entrypoint.sh"
conda activate container
echo $KUBE_GOOGLE_CLOUD_TPU_ENDPOINTS
echo "printed TPU info"
export XRT_TPU_CONFIG="tpu_worker;0;${KUBE_GOOGLE_CLOUD_TPU_ENDPOINTS:7}"
exec "$@"#!/bin/bash
| transformers/docker/transformers-pytorch-tpu/docker-entrypoint.sh/0 | {
"file_path": "transformers/docker/transformers-pytorch-tpu/docker-entrypoint.sh",
"repo_id": "transformers",
"token_count": 112
} | 445 |
# coding=utf-8
# Copyright 2018 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/roberta/convert_roberta_original_pytorch_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/roberta/convert_roberta_original_pytorch_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 3215
} | 735 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/indices/common/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/common/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,515 |
from langchain_community.vectorstores.llm_rails import LLMRails
#
# For this test to run properly, please setup as follows:
# 1. Create a LLMRails account: sign up at https://console.llmrails.com/signup
# 2. Create an API_KEY for this corpus with permissions for query and indexing
# 3. Create a datastorea and get its ... | langchain/libs/community/tests/integration_tests/vectorstores/test_llm_rails.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_llm_rails.py",
"repo_id": "langchain",
"token_count": 413
} | 358 |
# Open Weather Map Tool
This tool connects to the [OpenWeatherMap](https://openweathermap.org/api)'s OneCall API, using the `pyowm` Python package. You must initialize the tool with your OpenWeatherMap API token
The tool has access to the following functions:
- the current weather
- the the weather tomorrow
## Usag... | llama_index/llama-index-integrations/tools/llama-index-tools-weather/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-weather/README.md",
"repo_id": "llama_index",
"token_count": 254
} | 1,585 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/models/led/test_tokenization_led.py/0 | {
"file_path": "transformers/tests/models/led/test_tokenization_led.py",
"repo_id": "transformers",
"token_count": 3789
} | 767 |
{
"compilerOptions": {
"target": "ES2018",
"strict": true,
"moduleResolution": "node",
"module": "CommonJS",
"noUnusedLocals": true,
"noUnusedParameters": true,
"esModuleInterop": true,
"allowSyntheticDefaultImports": true
},
"include": ["."],
"exclude": ["node_modules"]
}
| tokenizers/bindings/node/tsconfig.json/0 | {
"file_path": "tokenizers/bindings/node/tsconfig.json",
"repo_id": "tokenizers",
"token_count": 129
} | 418 |
from langchain_community.tools.edenai.audio_speech_to_text import EdenAiSpeechToTextTool
__all__ = ["EdenAiSpeechToTextTool"]
| langchain/libs/langchain/langchain/tools/edenai/audio_speech_to_text.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/edenai/audio_speech_to_text.py",
"repo_id": "langchain",
"token_count": 45
} | 547 |
.. _Ref-Embeddings:
BaseEmbedding
===============
.. autopydantic_model:: llama_index.core.base.embeddings.base.BaseEmbedding
:members:
| llama_index/docs/api_reference/embeddings.rst/0 | {
"file_path": "llama_index/docs/api_reference/embeddings.rst",
"repo_id": "llama_index",
"token_count": 52
} | 1,110 |
import concurrent.futures
import json
import os
import time
from collections import defaultdict
from typing import List
from llama_index.core.readers.base import BaseReader
from llama_index.readers.sec_filings.sec_filings import SECExtractor
class SECFilingsLoader(BaseReader):
"""
SEC Filings loader
Get ... | llama_index/llama-index-integrations/readers/llama-index-readers-sec-filings/llama_index/readers/sec_filings/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-sec-filings/llama_index/readers/sec_filings/base.py",
"repo_id": "llama_index",
"token_count": 1992
} | 1,549 |
# candle-marian-mt
`marian-mt` is a neural machine translation model. In this example it is used to
translate text from French to English. See the associated [model
card](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-fr-en) for details on
the model itself.
## Running an example
```bash
cargo run --example maria... | candle/candle-examples/examples/marian-mt/README.md/0 | {
"file_path": "candle/candle-examples/examples/marian-mt/README.md",
"repo_id": "candle",
"token_count": 497
} | 45 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ko/transformers_agents.md/0 | {
"file_path": "transformers/docs/source/ko/transformers_agents.md",
"repo_id": "transformers",
"token_count": 12340
} | 565 |
""" Cross-Covariance Image Transformer (XCiT) in PyTorch
Paper:
- https://arxiv.org/abs/2106.09681
Same as the official implementation, with some minor adaptations, original copyright below
- https://github.com/facebookresearch/xcit/blob/master/xcit.py
Modifications and additions for timm hacked together by ... | pytorch-image-models/timm/models/xcit.py/0 | {
"file_path": "pytorch-image-models/timm/models/xcit.py",
"repo_id": "pytorch-image-models",
"token_count": 18692
} | 409 |
"""All integration tests (tests that call out to an external API)."""
| langchain/libs/langchain/tests/integration_tests/__init__.py/0 | {
"file_path": "langchain/libs/langchain/tests/integration_tests/__init__.py",
"repo_id": "langchain",
"token_count": 16
} | 590 |
# Indexing
With your data loaded, you now have a list of Document objects (or a list of Nodes). It's time to build an `Index` over these objects so you can start querying them.
## What is an Index?
In LlamaIndex terms, an `Index` is a data structure composed of `Document` objects, designed to enable querying by an L... | llama_index/docs/understanding/indexing/indexing.md/0 | {
"file_path": "llama_index/docs/understanding/indexing/indexing.md",
"repo_id": "llama_index",
"token_count": 1062
} | 1,102 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/src/storage/AliyunSTSClient.cpp/0 | {
"file_path": "milvus/internal/core/src/storage/AliyunSTSClient.cpp",
"repo_id": "milvus",
"token_count": 3836
} | 1,662 |
import { OpenAI } from "@langchain/openai";
import { SqlDatabase } from "langchain/sql_db";
import { createSqlAgent, SqlToolkit } from "langchain/agents/toolkits/sql";
import { DataSource } from "typeorm";
/** This example uses Chinook database, which is a sample database available for SQL Server, Oracle, MySQL, etc.
... | langchainjs/examples/src/agents/sql.ts/0 | {
"file_path": "langchainjs/examples/src/agents/sql.ts",
"repo_id": "langchainjs",
"token_count": 391
} | 769 |
<jupyter_start><jupyter_text>Subtitle>[The SubRip file format](https://en.wikipedia.org/wiki/SubRipSubRip_file_format) is described on the `Matroska` multimedia container format website as "perhaps the most basic of all subtitle formats." `SubRip (SubRip Text)` files are named with the extension `.srt`, and contain for... | langchain/docs/docs/integrations/document_loaders/subtitle.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/subtitle.ipynb",
"repo_id": "langchain",
"token_count": 366
} | 120 |
<jupyter_start><jupyter_text>Types of `MessagePromptTemplate`LangChain provides different types of `MessagePromptTemplate`. The most commonly used are `AIMessagePromptTemplate`, `SystemMessagePromptTemplate` and `HumanMessagePromptTemplate`, which create an AI message, system message and human message respectively.Howe... | langchain/docs/docs/modules/model_io/prompts/message_prompts.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/model_io/prompts/message_prompts.ipynb",
"repo_id": "langchain",
"token_count": 586
} | 208 |
{
"collection_name": "book",
"consistency_level": 1,
"db_name": "string",
"schema": {
"autoID": false,
"description": "Test book search",
"fields": [
{
"name": "book_id",
"description": "book id",
"is_primary_key": true,
"autoID": false,
"data_type": 5
... | milvus/tests/scripts/restful-data/create-collection.json/0 | {
"file_path": "milvus/tests/scripts/restful-data/create-collection.json",
"repo_id": "milvus",
"token_count": 356
} | 2,193 |
"""Kaltura eSearch API Reader."""
import json
import logging
from typing import Any, Dict, List, Optional
import requests
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
logger = logging.getLogger(__name__)
class KalturaESearchReader(BaseReader):
"""Kaltura eSe... | llama_index/llama-index-integrations/readers/llama-index-readers-kaltura/llama_index/readers/kaltura_esearch/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-kaltura/llama_index/readers/kaltura_esearch/base.py",
"repo_id": "llama_index",
"token_count": 5459
} | 1,325 |
from llama_index.readers.asana.base import AsanaReader
__all__ = ["AsanaReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-asana/llama_index/readers/asana/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-asana/llama_index/readers/asana/__init__.py",
"repo_id": "llama_index",
"token_count": 29
} | 1,339 |
<!---
Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/docs/source/ko/performance.md/0 | {
"file_path": "transformers/docs/source/ko/performance.md",
"repo_id": "transformers",
"token_count": 3692
} | 554 |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | transformers/examples/research_projects/movement-pruning/emmental/modeling_bert_masked.py/0 | {
"file_path": "transformers/examples/research_projects/movement-pruning/emmental/modeling_bert_masked.py",
"repo_id": "transformers",
"token_count": 20046
} | 548 |
<jupyter_start><jupyter_text>OpenSearch> [OpenSearch](https://opensearch.org/) is a scalable, flexible, and extensible open-source software suite for search, analytics, and observability applications licensed under Apache 2.0. `OpenSearch` is a distributed search and analytics engine based on `Apache Lucene`.This noteb... | langchain/docs/docs/integrations/vectorstores/opensearch.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/opensearch.ipynb",
"repo_id": "langchain",
"token_count": 2395
} | 190 |
from typing import Any, Dict, List, Optional, Sequence, Tuple
from llama_index.core.base.response.schema import RESPONSE_TYPE, Response
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.callbacks.schema import CBEventType, EventPayload
from llama_index.core.indices.multi_modal import Mu... | llama_index/llama-index-core/llama_index/core/query_engine/multi_modal.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/query_engine/multi_modal.py",
"repo_id": "llama_index",
"token_count": 4366
} | 1,288 |
import os
import warnings
from datetime import datetime
from enum import Enum
from typing import Any, Dict, List, Optional, Tuple, Union
from uuid import UUID
from langchain_core.agents import AgentAction, AgentFinish
from langchain_core.callbacks import BaseCallbackHandler
from langchain_core.messages import BaseMess... | langchain/libs/community/langchain_community/callbacks/labelstudio_callback.py/0 | {
"file_path": "langchain/libs/community/langchain_community/callbacks/labelstudio_callback.py",
"repo_id": "langchain",
"token_count": 6859
} | 216 |
# coding=utf-8
# Copyright The HuggingFace team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | transformers/src/transformers/models/convbert/configuration_convbert.py/0 | {
"file_path": "transformers/src/transformers/models/convbert/configuration_convbert.py",
"repo_id": "transformers",
"token_count": 2852
} | 662 |
"""OpenWeatherMap API toolkit."""
from langchain_community.tools.openweathermap.tool import OpenWeatherMapQueryRun
__all__ = [
"OpenWeatherMapQueryRun",
]
| langchain/libs/community/langchain_community/tools/openweathermap/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/openweathermap/__init__.py",
"repo_id": "langchain",
"token_count": 51
} | 311 |
COHERE_API_KEY=ADD_YOURS_HERE
GOOGLE_PALM_API_KEY=ADD_YOURS_HERE
GOOGLE_CALENDAR_PRIVATE_KEY=ADD_YOURS_HERE
GOOGLE_CALENDAR_CLIENT_EMAIL=ADD_YOURS_HERE
GOOGLE_CALENDAR_CALENDAR_ID=ADD_YOURS_HERE
HUGGINGFACEHUB_API_KEY=ADD_YOURS_HERE
OPENAI_API_KEY=ADD_YOURS_HERE
# if AZURE_OPENAI_API_KEY is set, it OPENAI_API_KEY will ... | langchainjs/langchain/.env.example/0 | {
"file_path": "langchainjs/langchain/.env.example",
"repo_id": "langchainjs",
"token_count": 1834
} | 889 |
"""Base interface for large language models to expose."""
from __future__ import annotations
import asyncio
import functools
import inspect
import json
import logging
import warnings
from abc import ABC, abstractmethod
from pathlib import Path
from typing import (
Any,
AsyncIterator,
Callable,
Dict,
... | langchain/libs/core/langchain_core/language_models/llms.py/0 | {
"file_path": "langchain/libs/core/langchain_core/language_models/llms.py",
"repo_id": "langchain",
"token_count": 21319
} | 431 |
{
"name": "tokenizers-win32-arm64-msvc",
"version": "0.13.4-rc1",
"os": [
"win32"
],
"cpu": [
"arm64"
],
"main": "tokenizers.win32-arm64-msvc.node",
"files": [
"tokenizers.win32-arm64-msvc.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
... | tokenizers/bindings/node/npm/win32-arm64-msvc/package.json/0 | {
"file_path": "tokenizers/bindings/node/npm/win32-arm64-msvc/package.json",
"repo_id": "tokenizers",
"token_count": 277
} | 456 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/tools/llama-index-tools-playgrounds/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-playgrounds/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,495 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | peft/docs/source/conceptual_guides/ia3.md/0 | {
"file_path": "peft/docs/source/conceptual_guides/ia3.md",
"repo_id": "peft",
"token_count": 1030
} | 293 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/program/llama-index-program-evaporate/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/program/llama-index-program-evaporate/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,320 |
import { test } from "@jest/globals";
import { ChatPromptTemplate } from "@langchain/core/prompts";
import { FakeRetriever } from "@langchain/core/utils/testing";
import { Document } from "@langchain/core/documents";
import { createRetrievalChain } from "../retrieval.js";
import { FakeListLLM } from "../../llms/fake.js... | langchainjs/langchain/src/chains/tests/retrieval_chain.test.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/tests/retrieval_chain.test.ts",
"repo_id": "langchainjs",
"token_count": 426
} | 912 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | transformers/examples/tensorflow/text-classification/run_glue.py/0 | {
"file_path": "transformers/examples/tensorflow/text-classification/run_glue.py",
"repo_id": "transformers",
"token_count": 11371
} | 563 |
from typing import List
from unittest.mock import patch
from llama_index.core.indices.keyword_table.simple_base import (
SimpleKeywordTableIndex,
)
from llama_index.core.schema import Document, QueryBundle
from llama_index.core.service_context import ServiceContext
from tests.mock_utils.mock_utils import mock_extr... | llama_index/llama-index-core/tests/indices/keyword_table/test_retrievers.py/0 | {
"file_path": "llama_index/llama-index-core/tests/indices/keyword_table/test_retrievers.py",
"repo_id": "llama_index",
"token_count": 401
} | 1,229 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/de/add_new_model.md/0 | {
"file_path": "transformers/docs/source/de/add_new_model.md",
"repo_id": "transformers",
"token_count": 24185
} | 446 |
from pathlib import Path
from typing import Any, Dict, Optional, Set, TypedDict
from tomlkit import load
def get_package_root(cwd: Optional[Path] = None) -> Path:
# traverse path for routes to host (any directory holding a pyproject.toml file)
package_root = Path.cwd() if cwd is None else cwd
visited: Se... | langchain/libs/cli/langchain_cli/utils/packages.py/0 | {
"file_path": "langchain/libs/cli/langchain_cli/utils/packages.py",
"repo_id": "langchain",
"token_count": 580
} | 221 |
<jupyter_start><jupyter_text>Multi-agent decentralized speaker selectionThis notebook showcases how to implement a multi-agent simulation without a fixed schedule for who speaks when. Instead the agents decide for themselves who speaks. We can implement this by having each agent bid to speak. Whichever agent's bid is t... | langchain/cookbook/multiagent_bidding.ipynb/0 | {
"file_path": "langchain/cookbook/multiagent_bidding.ipynb",
"repo_id": "langchain",
"token_count": 5162
} | 78 |
from enum import Enum
from typing import Any, List, Optional
from llama_index.legacy.bridge.pydantic import Field
from llama_index.legacy.callbacks import CallbackManager
from llama_index.legacy.core.embeddings.base import (
DEFAULT_EMBED_BATCH_SIZE,
BaseEmbedding,
)
# Enums for validation and type safety
cl... | llama_index/llama-index-legacy/llama_index/legacy/embeddings/cohereai.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/embeddings/cohereai.py",
"repo_id": "llama_index",
"token_count": 2834
} | 1,700 |
<jupyter_start><jupyter_code># Setup OpenAI Agent
from llama_index.agent import OpenAIAgent
import openai
openai.api_key = "sk-your-key"
# Import and initialize our tool spec
from llama_index.tools.wikipedia.base import WikipediaToolSpec
from llama_index.tools.tool_spec.load_and_search.base import LoadAndSearchToolSpe... | llama_index/llama-index-integrations/tools/llama-index-tools-wikipedia/examples/wikipedia.ipynb/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-wikipedia/examples/wikipedia.ipynb",
"repo_id": "llama_index",
"token_count": 324
} | 1,444 |
export const VIEW_EVENTS_PROMPT = `
Date format: YYYY-MM-DDThh:mm:ss+00:00
Based on this event description: 'View my events on Thursday',
output a json of the following parameters:
Today's datetime on UTC time 2023-05-02T10:00:00+00:00, it's Tuesday and timezone
of the user is -5, take into account the timezone of the... | langchainjs/libs/langchain-community/src/tools/google_calendar/prompts/view-events-prompt.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/tools/google_calendar/prompts/view-events-prompt.ts",
"repo_id": "langchainjs",
"token_count": 429
} | 1,075 |
from langchain_community.tools.amadeus.closest_airport import (
AmadeusClosestAirport,
ClosestAirportSchema,
)
__all__ = ["ClosestAirportSchema", "AmadeusClosestAirport"]
| langchain/libs/langchain/langchain/tools/amadeus/closest_airport.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/amadeus/closest_airport.py",
"repo_id": "langchain",
"token_count": 73
} | 570 |
from llama_index.core.llama_pack import BaseLlamaPack
from llama_index.packs.rag_evaluator import RagEvaluatorPack
def test_class():
names_of_base_classes = [b.__name__ for b in RagEvaluatorPack.__mro__]
assert BaseLlamaPack.__name__ in names_of_base_classes
| llama_index/llama-index-packs/llama-index-packs-rag-evaluator/tests/test_packs_rag_evaluator.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-rag-evaluator/tests/test_packs_rag_evaluator.py",
"repo_id": "llama_index",
"token_count": 102
} | 1,720 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-docugami/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-docugami/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,308 |
from typing import List, Sequence
from llama_index.core.base.llms.types import ChatMessage, LLMMetadata, MessageRole
from llama_index.core.constants import AI21_J2_CONTEXT_WINDOW, COHERE_CONTEXT_WINDOW
from llama_index.llms.anyscale.utils import anyscale_modelname_to_contextsize
from llama_index.llms.openai.utils impo... | llama_index/llama-index-integrations/llms/llama-index-llms-langchain/llama_index/llms/langchain/utils.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-langchain/llama_index/llms/langchain/utils.py",
"repo_id": "llama_index",
"token_count": 2475
} | 1,262 |
"""SQLAlchemy wrapper around a database."""
from __future__ import annotations
from typing import Any, Dict, Iterable, List, Literal, Optional, Sequence, Union
import sqlalchemy
from langchain_core._api import deprecated
from langchain_core.utils import get_from_env
from sqlalchemy import (
Executable,
MetaDa... | langchain/libs/community/langchain_community/utilities/sql_database.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/sql_database.py",
"repo_id": "langchain",
"token_count": 10204
} | 304 |
from langchain.callbacks.manager import __all__
EXPECTED_ALL = [
"BaseRunManager",
"RunManager",
"ParentRunManager",
"AsyncRunManager",
"AsyncParentRunManager",
"CallbackManagerForLLMRun",
"AsyncCallbackManagerForLLMRun",
"CallbackManagerForChainRun",
"AsyncCallbackManagerForChainRu... | langchain/libs/langchain/tests/unit_tests/callbacks/test_manager.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/callbacks/test_manager.py",
"repo_id": "langchain",
"token_count": 366
} | 594 |
import sys
import operator
from common import common_type as ct
sys.path.append("..")
from utils.util_log import test_log as log
def ip_check(ip):
if ip == "localhost":
return True
if not isinstance(ip, str):
log.error("[IP_CHECK] IP(%s) is not a string." % ip)
return False
retu... | milvus/tests/python_client/check/param_check.py/0 | {
"file_path": "milvus/tests/python_client/check/param_check.py",
"repo_id": "milvus",
"token_count": 3473
} | 2,034 |
---
default_language_version:
python: python3
repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.5.0
hooks:
- id: check-byte-order-marker
- id: check-merge-conflict
- id: check-symlinks
- id: check-toml
exclude: llama-index-core/llama_index/core/_static
... | llama_index/.pre-commit-config.yaml/0 | {
"file_path": "llama_index/.pre-commit-config.yaml",
"repo_id": "llama_index",
"token_count": 1628
} | 1,029 |
---
hide_table_of_contents: true
---
# EPUB files
This example goes over how to load data from EPUB files. By default, one document will be created for each chapter in the EPUB file, you can change this behavior by setting the `splitChapters` option to `false`.
# Setup
```bash npm2yarn
npm install epub2 html-to-tex... | langchainjs/docs/core_docs/docs/integrations/document_loaders/file_loaders/epub.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/document_loaders/file_loaders/epub.mdx",
"repo_id": "langchainjs",
"token_count": 277
} | 702 |
import { similarity as ml_distance_similarity } from "ml-distance";
import { VectorStore } from "@langchain/core/vectorstores";
import type { EmbeddingsInterface } from "@langchain/core/embeddings";
import { Document } from "@langchain/core/documents";
/**
* Interface representing a vector in memory. It includes the ... | langchainjs/langchain/src/vectorstores/memory.ts/0 | {
"file_path": "langchainjs/langchain/src/vectorstores/memory.ts",
"repo_id": "langchainjs",
"token_count": 2170
} | 922 |
package writebuffer
import (
"context"
"testing"
"github.com/stretchr/testify/mock"
"github.com/stretchr/testify/suite"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/msgpb"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvu... | milvus/internal/datanode/writebuffer/write_buffer_test.go/0 | {
"file_path": "milvus/internal/datanode/writebuffer/write_buffer_test.go",
"repo_id": "milvus",
"token_count": 4542
} | 1,712 |
accuracy:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_011/sift_10m_128_l2_rhnsw_pq
cache_config.cpu_cache_capacity: 8GB
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: false
gpu_r... | milvus/tests/benchmark/milvus_benchmark/suites/011_cpu_accuracy_rhnsw.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/011_cpu_accuracy_rhnsw.yaml",
"repo_id": "milvus",
"token_count": 627
} | 2,142 |
{
"compilerOptions": {
"target": "es5",
"lib": ["dom", "dom.iterable", "esnext"],
"allowJs": true,
"skipLibCheck": true,
"strict": true,
"forceConsistentCasingInFileNames": true,
"noEmit": true,
"esModuleInterop": true,
"module": "esnext",
"moduleResolution": "bundler",
"re... | weblangchain/nextjs/tsconfig.json/0 | {
"file_path": "weblangchain/nextjs/tsconfig.json",
"repo_id": "weblangchain",
"token_count": 303
} | 2,151 |
from langchain_community.document_loaders.onenote import (
OneNoteLoader,
)
__all__ = ["OneNoteLoader"]
| langchain/libs/langchain/langchain/document_loaders/onenote.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/onenote.py",
"repo_id": "langchain",
"token_count": 37
} | 486 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/yoso/convert_yoso_pytorch_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/yoso/convert_yoso_pytorch_to_pytorch.py",
"repo_id": "transformers",
"token_count": 1660
} | 704 |
<jupyter_start><jupyter_text>MultiQueryRetrieverDistance-based vector database retrieval embeds (represents) queries in high-dimensional space and finds similar embedded documents based on "distance". But, retrieval may produce different results with subtle changes in query wording or if the embeddings do not capture t... | langchain/docs/docs/modules/data_connection/retrievers/MultiQueryRetriever.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/data_connection/retrievers/MultiQueryRetriever.ipynb",
"repo_id": "langchain",
"token_count": 1368
} | 192 |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | transformers/src/transformers/modeling_tf_pytorch_utils.py/0 | {
"file_path": "transformers/src/transformers/modeling_tf_pytorch_utils.py",
"repo_id": "transformers",
"token_count": 10674
} | 567 |
import { MessageContent } from "../messages/index.js";
import type { TemplateFormat } from "./template.js";
/**
* Represents a serialized version of a prompt template. This type is used
* to create dynamic prompts for language models. It contains an optional
* `_type` field which, if present, is set to 'prompt'. It... | langchainjs/langchain-core/src/prompts/serde.ts/0 | {
"file_path": "langchainjs/langchain-core/src/prompts/serde.ts",
"repo_id": "langchainjs",
"token_count": 511
} | 900 |
"""Pre-Activation ResNet v2 with GroupNorm and Weight Standardization.
A PyTorch implementation of ResNetV2 adapted from the Google Big-Transfer (BiT) source code
at https://github.com/google-research/big_transfer to match timm interfaces. The BiT weights have
been included here as pretrained models from their origina... | pytorch-image-models/timm/models/resnetv2.py/0 | {
"file_path": "pytorch-image-models/timm/models/resnetv2.py",
"repo_id": "pytorch-image-models",
"token_count": 14679
} | 402 |
# Argilla
>[Argilla](https://argilla.io/) is an open-source data curation platform for LLMs.
> Using Argilla, everyone can build robust language models through faster data curation
> using both human and machine feedback. We provide support f... | langchain/docs/docs/integrations/providers/argilla.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/argilla.mdx",
"repo_id": "langchain",
"token_count": 303
} | 133 |
<jupyter_start><jupyter_text>Tencent Cloud VectorDB >[Tencent Cloud VectorDB](https://cloud.tencent.com/document/product/1709) is a fully managed, self-developed, enterprise-level distributed database service designed for storing, retrieving, and analyzing multi-dimensional vector data. The database supports multiple i... | llama_index/docs/examples/vector_stores/TencentVectorDBIndexDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/TencentVectorDBIndexDemo.ipynb",
"repo_id": "llama_index",
"token_count": 3545
} | 1,114 |
import type { TiktokenModel } from "js-tiktoken/lite";
import {
type OpenAIClientOptions as AzureOpenAIClientOptions,
OpenAIClient as AzureOpenAIClient,
AzureKeyCredential,
Completions,
Choice,
OpenAIKeyCredential,
} from "@azure/openai";
import { calculateMaxTokens } from "@langchain/core/language_models/b... | langchainjs/libs/langchain-azure-openai/src/llms.ts/0 | {
"file_path": "langchainjs/libs/langchain-azure-openai/src/llms.ts",
"repo_id": "langchainjs",
"token_count": 5337
} | 1,042 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
# Copyright 2021 NVIDIA Corporation. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# ... | transformers/tests/models/qdqbert/test_modeling_qdqbert.py/0 | {
"file_path": "transformers/tests/models/qdqbert/test_modeling_qdqbert.py",
"repo_id": "transformers",
"token_count": 10437
} | 746 |
[tool.poetry]
name = "elastic-query-generator"
version = "0.0.1"
description = "Interact with Elasticsearch analytics databases using natural language"
authors = []
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
elasticsearch = "^8.10.1"
openai = "<2"
[tool.poetry.group.dev... | langchain/templates/elastic-query-generator/pyproject.toml/0 | {
"file_path": "langchain/templates/elastic-query-generator/pyproject.toml",
"repo_id": "langchain",
"token_count": 264
} | 689 |
[tool.poetry]
name = "text-generation"
version = "0.6.1"
description = "Hugging Face Text Generation Python Client"
license = "Apache-2.0"
authors = ["Olivier Dehaene <olivier@huggingface.co>"]
maintainers = ["Olivier Dehaene <olivier@huggingface.co>"]
readme = "README.md"
homepage = "https://github.com/huggingface/tex... | text-generation-inference/clients/python/pyproject.toml/0 | {
"file_path": "text-generation-inference/clients/python/pyproject.toml",
"repo_id": "text-generation-inference",
"token_count": 336
} | 414 |
from .module import Module
from .container import Sequential, ModuleList, ModuleDict
from .sparse import Embedding
from .normalization import LayerNorm
from .linear import Linear
| candle/candle-pyo3/py_src/candle/nn/__init__.py/0 | {
"file_path": "candle/candle-pyo3/py_src/candle/nn/__init__.py",
"repo_id": "candle",
"token_count": 43
} | 65 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/datacoord/allocator.go/0 | {
"file_path": "milvus/internal/datacoord/allocator.go",
"repo_id": "milvus",
"token_count": 894
} | 1,788 |
"""Correctness evaluation."""
import asyncio
from typing import Any, Callable, Optional, Sequence, Tuple, Union
from llama_index.core.evaluation.base import BaseEvaluator, EvaluationResult
from llama_index.core.evaluation.eval_utils import default_parser
from llama_index.core.llms.llm import LLM
from llama_index.core.... | llama_index/llama-index-core/llama_index/core/evaluation/correctness.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/evaluation/correctness.py",
"repo_id": "llama_index",
"token_count": 1851
} | 1,122 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "retrievers/vectara_summary",
});
export * from "@langchain/community/retrievers/vectara_summary";
| langchainjs/langchain/src/retrievers/vectara_summary.ts/0 | {
"file_path": "langchainjs/langchain/src/retrievers/vectara_summary.ts",
"repo_id": "langchainjs",
"token_count": 80
} | 985 |
# PDF files
This example goes over how to load data from PDF files. By default, one document will be created for each page in the PDF file, you can change this behavior by setting the `splitPages` option to `false`.
## Setup
```bash npm2yarn
npm install pdf-parse
```
## Usage, one document per page
```typescript
i... | langchainjs/docs/core_docs/docs/integrations/document_loaders/file_loaders/pdf.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/document_loaders/file_loaders/pdf.mdx",
"repo_id": "langchainjs",
"token_count": 756
} | 727 |
package utils
import (
"io"
"os"
"os/signal"
"syscall"
"github.com/rs/zerolog/log"
)
func WaitUntilSignal(closers ...io.Closer) {
c := make(chan os.Signal, 1)
signal.Notify(c, os.Interrupt, syscall.SIGTERM)
sig := <-c
log.Info().
Str("signal", sig.String()).
Msg("Received signal, exiting")
code := 0
... | chroma/go/coordinator/internal/utils/signal.go/0 | {
"file_path": "chroma/go/coordinator/internal/utils/signal.go",
"repo_id": "chroma",
"token_count": 253
} | 52 |
# coding=utf-8
# Copyright 2023 Adept AI and the HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0... | transformers/src/transformers/models/fuyu/configuration_fuyu.py/0 | {
"file_path": "transformers/src/transformers/models/fuyu/configuration_fuyu.py",
"repo_id": "transformers",
"token_count": 4239
} | 607 |
import gc
import threading
import time
import psutil
import torch
class PeakCPUMemory:
def __init__(self):
self.process = psutil.Process()
self.peak_monitoring = False
def peak_monitor(self):
self.cpu_memory_peak = -1
while True:
self.cpu_memory_peak = max(self.p... | accelerate/benchmarks/measures_util.py/0 | {
"file_path": "accelerate/benchmarks/measures_util.py",
"repo_id": "accelerate",
"token_count": 989
} | 0 |
import inspect
from typing import List, Union
import numpy as np
from ..tokenization_utils import TruncationStrategy
from ..utils import add_end_docstrings, logging
from .base import ArgumentHandler, ChunkPipeline, build_pipeline_init_args
logger = logging.get_logger(__name__)
class ZeroShotClassificationArgument... | transformers/src/transformers/pipelines/zero_shot_classification.py/0 | {
"file_path": "transformers/src/transformers/pipelines/zero_shot_classification.py",
"repo_id": "transformers",
"token_count": 5051
} | 750 |
import pytest
@pytest.fixture(scope="module")
def flash_mistral_handle(launcher):
with launcher("mistralai/Mistral-7B-Instruct-v0.1") as handle:
yield handle
@pytest.fixture(scope="module")
async def flash_mistral(flash_mistral_handle):
await flash_mistral_handle.health(300)
return flash_mistral... | text-generation-inference/integration-tests/models/test_flash_mistral.py/0 | {
"file_path": "text-generation-inference/integration-tests/models/test_flash_mistral.py",
"repo_id": "text-generation-inference",
"token_count": 738
} | 369 |
## [Deprecated] Multi Token Textual Inversion
**IMPORTART: This research project is deprecated. Multi Token Textual Inversion is now supported natively in [the official textual inversion example](https://github.com/huggingface/diffusers/tree/main/examples/textual_inversion#running-locally-with-pytorch).**
The author ... | diffusers/examples/research_projects/multi_token_textual_inversion/README.md/0 | {
"file_path": "diffusers/examples/research_projects/multi_token_textual_inversion/README.md",
"repo_id": "diffusers",
"token_count": 1842
} | 216 |
export interface GoogleVertexAIBasePrediction {
// eslint-disable-next-line @typescript-eslint/no-explicit-any
safetyAttributes?: any;
}
export interface GoogleVertexAILLMPredictions<
PredictionType extends GoogleVertexAIBasePrediction
> {
predictions: PredictionType[];
}
| langchainjs/libs/langchain-google-common/src/utils/palm.ts/0 | {
"file_path": "langchainjs/libs/langchain-google-common/src/utils/palm.ts",
"repo_id": "langchainjs",
"token_count": 87
} | 1,096 |
python_sources()
| llama_index/llama-index-core/llama_index/core/agent/legacy/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/agent/legacy/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,109 |
# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.a... | transformers/src/transformers/models/encoder_decoder/configuration_encoder_decoder.py/0 | {
"file_path": "transformers/src/transformers/models/encoder_decoder/configuration_encoder_decoder.py",
"repo_id": "transformers",
"token_count": 1491
} | 629 |
# DeepInfra
>[DeepInfra](https://deepinfra.com/docs) allows us to run the
> [latest machine learning models](https://deepinfra.com/models) with ease.
> DeepInfra takes care of all the heavy lifting related to running, scaling and monitoring
> the models. Users can focus on your application and integrate the models ... | langchain/docs/docs/integrations/providers/deepinfra.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/deepinfra.mdx",
"repo_id": "langchain",
"token_count": 542
} | 142 |
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