text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
#!/usr/bin/env python
"""Example of a chat server with persistence handled on the backend.
For simplicity, we're using file storage here -- to avoid the need to set up
a database. This is obviously not a good idea for a production environment,
but will help us to demonstrate the RunnableWithMessageHistory interface.
... | langserve/examples/chat_with_persistence/server.py/0 | {
"file_path": "langserve/examples/chat_with_persistence/server.py",
"repo_id": "langserve",
"token_count": 1252
} | 1,009 |
piVersion: v1
kind: Pod
metadata:
name: milvus-test-pod
namespace: qa
spec:
containers:
- name: milvus-test
image: harbor.milvus.io/qa/fouram:1.1
# image: dockerhub-mirror-sh.zilliz.cc/milvusdb/pytest:20211209-cef343f
command:
- cat
tty: true
env:
- name: IN_CLUSTER
value: T... | milvus/build/ci/jenkins/pod/scale-test.yaml/0 | {
"file_path": "milvus/build/ci/jenkins/pod/scale-test.yaml",
"repo_id": "milvus",
"token_count": 246
} | 1,621 |
# coding=utf-8
# Copyright 2018 Google AI, Google Brain and Carnegie Mellon University 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 Lice... | transformers/src/transformers/models/deprecated/transfo_xl/modeling_tf_transfo_xl_utilities.py/0 | {
"file_path": "transformers/src/transformers/models/deprecated/transfo_xl/modeling_tf_transfo_xl_utilities.py",
"repo_id": "transformers",
"token_count": 4106
} | 673 |
import os
from pathlib import Path
from langchain_community.document_loaders import UnstructuredExcelLoader
EXAMPLE_DIRECTORY = file_path = Path(__file__).parent.parent / "examples"
def test_unstructured_excel_loader() -> None:
"""Test unstructured loader."""
file_path = os.path.join(EXAMPLE_DIRECTORY, "sta... | langchain/libs/community/tests/integration_tests/document_loaders/test_excel.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_excel.py",
"repo_id": "langchain",
"token_count": 158
} | 323 |
import torch
from typing import List
AWQ_PACK_ORDER = [0, 2, 4, 6, 1, 3, 5, 7]
REVERSE_AWQ_PACK_ORDER = [0, 4, 1, 5, 2, 6, 3, 7]
def pack(imatrix: torch.Tensor, direction: str = "column"):
"""
Packs a 4-bit integer matrix into a packed 32-bit integer matrix.
Args:
imatrix (torch.Tensor): matrix ... | text-generation-inference/server/text_generation_server/utils/awq/conversion_utils.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/utils/awq/conversion_utils.py",
"repo_id": "text-generation-inference",
"token_count": 1384
} | 406 |
## Demo in browser
Update your settings to add `localhost:3000` to `chroma_server_cors_allow_origins`.
For example in `docker-compose.yml`
```
environment:
- CHROMA_DB_IMPL=clickhouse
- CLICKHOUSE_HOST=clickhouse
- CLICKHOUSE_PORT=8123
- CHROMA_SERVER_CORS_ALLOW_ORIGINS=["http://localhost:300... | chroma/clients/js/examples/browser/README.md/0 | {
"file_path": "chroma/clients/js/examples/browser/README.md",
"repo_id": "chroma",
"token_count": 154
} | 27 |
"""Init params."""
| llama_index/llama-index-legacy/tests/indices/struct_store/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/struct_store/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,738 |
import warnings
from diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline # noqa F401
warnings.warn(
"The `inpainting.py` script is outdated. Please use directly `from diffusers import"
" StableDiffusionInpaintPipeline` instead."
)
| diffusers/examples/inference/inpainting.py/0 | {
"file_path": "diffusers/examples/inference/inpainting.py",
"repo_id": "diffusers",
"token_count": 89
} | 207 |
# coding=utf-8
# Copyright 2022 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
#
# Unless r... | transformers/src/transformers/models/blip/image_processing_blip.py/0 | {
"file_path": "transformers/src/transformers/models/blip/image_processing_blip.py",
"repo_id": "transformers",
"token_count": 6334
} | 613 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-tencentvectordb/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-tencentvectordb/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,541 |
<!--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/en/model_doc/siglip.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/siglip.md",
"repo_id": "transformers",
"token_count": 1843
} | 516 |
# Document Management
Most LlamaIndex index structures allow for **insertion**, **deletion**, **update**, and **refresh** operations.
## Insertion
You can "insert" a new Document into any index data structure, after building the index initially. This document will be broken down into nodes and ingested into the inde... | llama_index/docs/module_guides/indexing/document_management.md/0 | {
"file_path": "llama_index/docs/module_guides/indexing/document_management.md",
"repo_id": "llama_index",
"token_count": 1510
} | 1,143 |
import { ChatAnthropicMessages } from "@langchain/anthropic";
const model = new ChatAnthropicMessages({
temperature: 0.9,
anthropicApiKey: "YOUR-API-KEY", // In Node.js defaults to process.env.ANTHROPIC_API_KEY,
maxTokens: 1024,
});
| langchainjs/examples/src/models/chat/integration_anthropic.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/integration_anthropic.ts",
"repo_id": "langchainjs",
"token_count": 85
} | 821 |
# coding=utf-8
# Copyright 2021 The Fairseq Authors 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/... | transformers/src/transformers/models/unispeech/modeling_unispeech.py/0 | {
"file_path": "transformers/src/transformers/models/unispeech/modeling_unispeech.py",
"repo_id": "transformers",
"token_count": 30778
} | 665 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["AthenaReader"]
contains_example = false
import_path = "llama_index.readers.athena"
[tool... | llama_index/llama-index-integrations/readers/llama-index-readers-athena/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-athena/pyproject.toml",
"repo_id": "llama_index",
"token_count": 705
} | 1,381 |
"""Test the File Management utils."""
import re
from pathlib import Path
from tempfile import TemporaryDirectory
import pytest
from langchain_community.tools.file_management.utils import (
FileValidationError,
get_validated_relative_path,
)
def test_get_validated_relative_path_errs_on_absolute() -> None:
... | langchain/libs/community/tests/unit_tests/tools/file_management/test_utils.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/tools/file_management/test_utils.py",
"repo_id": "langchain",
"token_count": 982
} | 407 |
<!--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/albert.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/albert.md",
"repo_id": "transformers",
"token_count": 3405
} | 483 |
python_tests()
| llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-sbert-rerank/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-sbert-rerank/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,390 |
from langchain_community.document_loaders.mastodon import (
MastodonTootsLoader,
)
__all__ = ["MastodonTootsLoader"]
| langchain/libs/langchain/langchain/document_loaders/mastodon.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/mastodon.py",
"repo_id": "langchain",
"token_count": 42
} | 487 |
# 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 applicabl... | transformers/tests/models/resnet/test_modeling_flax_resnet.py/0 | {
"file_path": "transformers/tests/models/resnet/test_modeling_flax_resnet.py",
"repo_id": "transformers",
"token_count": 3543
} | 747 |
from llama_index.core.chat_engine.condense_plus_context import (
CondensePlusContextChatEngine,
)
from llama_index.core.chat_engine.condense_question import (
CondenseQuestionChatEngine,
)
from llama_index.core.chat_engine.context import ContextChatEngine
from llama_index.core.chat_engine.simple import SimpleCh... | llama_index/llama-index-core/llama_index/core/chat_engine/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/chat_engine/__init__.py",
"repo_id": "llama_index",
"token_count": 151
} | 1,180 |
python_tests()
| llama_index/llama-index-integrations/tools/llama-index-tools-neo4j/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-neo4j/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,490 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-packs/llama-index-packs-llama-guard-moderator/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-llama-guard-moderator/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,796 |
python_sources()
| llama_index/llama-index-core/llama_index/core/prompts/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/prompts/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,194 |
# SerpAPI
This page covers how to use the SerpAPI search APIs within LangChain.
It is broken into two parts: installation and setup, and then references to the specific SerpAPI wrapper.
## Installation and Setup
- Install requirements with `pip install google-search-results`
- Get a SerpAPI api key and either set it ... | langchain/docs/docs/integrations/providers/serpapi.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/serpapi.mdx",
"repo_id": "langchain",
"token_count": 257
} | 152 |
# Copyright 2022 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... | accelerate/src/accelerate/utils/megatron_lm.py/0 | {
"file_path": "accelerate/src/accelerate/utils/megatron_lm.py",
"repo_id": "accelerate",
"token_count": 26949
} | 13 |
from langchain.output_parsers.boolean import BooleanOutputParser
def test_boolean_output_parser_parse() -> None:
parser = BooleanOutputParser()
# Test valid input
result = parser.parse("YES")
assert result is True
# Test valid input
result = parser.parse("NO")
assert result is False
... | langchain/libs/langchain/tests/unit_tests/output_parsers/test_boolean_parser.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/output_parsers/test_boolean_parser.py",
"repo_id": "langchain",
"token_count": 221
} | 608 |
// 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/core/src/exec/expression/Expr.cpp/0 | {
"file_path": "milvus/internal/core/src/exec/expression/Expr.cpp",
"repo_id": "milvus",
"token_count": 4654
} | 1,868 |
import { LanguageModelLike } from "@langchain/core/language_models/base";
import {
BaseOutputParser,
StringOutputParser,
} from "@langchain/core/output_parsers";
import { BasePromptTemplate } from "@langchain/core/prompts";
import {
RunnablePassthrough,
RunnablePick,
RunnableSequence,
} from "@langchain/core/... | langchainjs/langchain/src/chains/combine_documents/stuff.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/combine_documents/stuff.ts",
"repo_id": "langchainjs",
"token_count": 853
} | 925 |
from llama_index.postprocessor.sbert_rerank.base import SentenceTransformerRerank
__all__ = ["SentenceTransformerRerank"]
| llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-sbert-rerank/llama_index/postprocessor/sbert_rerank/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-sbert-rerank/llama_index/postprocessor/sbert_rerank/__init__.py",
"repo_id": "llama_index",
"token_count": 40
} | 1,268 |
import { createClient } from "redis";
import { ChatOpenAI, OpenAIEmbeddings } from "@langchain/openai";
import { RedisVectorStore } from "@langchain/redis";
import { ChatPromptTemplate } from "@langchain/core/prompts";
import { createStuffDocumentsChain } from "langchain/chains/combine_documents";
import { createRetrie... | langchainjs/examples/src/indexes/vector_stores/redis/redis_query.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/redis/redis_query.ts",
"repo_id": "langchainjs",
"token_count": 841
} | 822 |
use serde::{Deserialize, Serialize};
use crate::tokenizer::{PreTokenizedString, PreTokenizer, Result, SplitDelimiterBehavior};
use crate::utils::macro_rules_attribute;
use unicode_categories::UnicodeCategories;
fn is_punc(x: char) -> bool {
char::is_ascii_punctuation(&x) || x.is_punctuation()
}
#[derive(Copy, Cl... | tokenizers/tokenizers/src/pre_tokenizers/punctuation.rs/0 | {
"file_path": "tokenizers/tokenizers/src/pre_tokenizers/punctuation.rs",
"repo_id": "tokenizers",
"token_count": 1102
} | 468 |
# Copyright 2024 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... | diffusers/src/diffusers/models/autoencoders/consistency_decoder_vae.py/0 | {
"file_path": "diffusers/src/diffusers/models/autoencoders/consistency_decoder_vae.py",
"repo_id": "diffusers",
"token_count": 8128
} | 235 |
<jupyter_start><jupyter_text>ArXivThis notebook goes over how to use the `arxiv` tool with an agent. First, you need to install the `arxiv` python package.<jupyter_code>%pip install --upgrade --quiet arxiv
from langchain import hub
from langchain.agents import AgentExecutor, create_react_agent, load_tools
from langcha... | langchain/docs/docs/integrations/tools/arxiv.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/tools/arxiv.ipynb",
"repo_id": "langchain",
"token_count": 880
} | 171 |
# 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/src/transformers/data/datasets/squad.py/0 | {
"file_path": "transformers/src/transformers/data/datasets/squad.py",
"repo_id": "transformers",
"token_count": 4006
} | 605 |
<jupyter_start><jupyter_text>Log, Trace, and MonitorWhen building apps or agents using Langchain, you end up making multiple API calls to fulfill a single user request. However, these requests are not chained when you want to analyse them. With [**Portkey**](/docs/integrations/providers/portkey), all the embeddings, co... | langchain/docs/docs/integrations/providers/portkey/logging_tracing_portkey.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/providers/portkey/logging_tracing_portkey.ipynb",
"repo_id": "langchain",
"token_count": 1421
} | 146 |
import random
import pytest
from langchain.evaluation.parsing.base import (
JsonEqualityEvaluator,
JsonValidityEvaluator,
)
@pytest.fixture
def json_validity_evaluator() -> JsonValidityEvaluator:
return JsonValidityEvaluator()
def test_json_validity_evaluator_requires_input(
json_validity_evaluato... | langchain/libs/langchain/tests/unit_tests/evaluation/parsing/test_base.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/evaluation/parsing/test_base.py",
"repo_id": "langchain",
"token_count": 2313
} | 596 |
<jupyter_start><jupyter_text>AI21 Basic Usage Call `complete` with a prompt If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-llms-ai21
!pip install llama-index
from llama_index.llms.ai21 import AI21
api_key = "Your api key"
resp = AI21(a... | llama_index/docs/examples/llm/ai21.ipynb/0 | {
"file_path": "llama_index/docs/examples/llm/ai21.ipynb",
"repo_id": "llama_index",
"token_count": 805
} | 1,086 |
# 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 applicabl... | accelerate/src/accelerate/accelerator.py/0 | {
"file_path": "accelerate/src/accelerate/accelerator.py",
"repo_id": "accelerate",
"token_count": 62826
} | 9 |
/* eslint-disable no-promise-executor-return */
/* eslint-disable @typescript-eslint/no-explicit-any */
import { test } from "@jest/globals";
import {
ChatPromptTemplate,
HumanMessagePromptTemplate,
PromptTemplate,
SystemMessagePromptTemplate,
} from "../../prompts/index.js";
import { Document } from "../../do... | langchainjs/langchain-core/src/runnables/tests/runnable_stream_log.test.ts/0 | {
"file_path": "langchainjs/langchain-core/src/runnables/tests/runnable_stream_log.test.ts",
"repo_id": "langchainjs",
"token_count": 3770
} | 840 |
from hybrid_search_weaviate.chain import chain
__all__ = ["chain"]
| langchain/templates/hybrid-search-weaviate/hybrid_search_weaviate/__init__.py/0 | {
"file_path": "langchain/templates/hybrid-search-weaviate/hybrid_search_weaviate/__init__.py",
"repo_id": "langchain",
"token_count": 22
} | 656 |
// 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/core/src/index/IndexFactory.cpp/0 | {
"file_path": "milvus/internal/core/src/index/IndexFactory.cpp",
"repo_id": "milvus",
"token_count": 5881
} | 1,926 |
"""ElevenLabs TTS."""
from typing import Any, Optional
from llama_index.legacy.tts.base import BaseTTS
class ElevenLabsTTS(BaseTTS):
"""ElevenLabs TTS.
Args:
api_key (Optional[str]): API key for ElevenLabs TTS.
"""
def __init__(self, api_key: Optional[str] = None) -> None:
super()... | llama_index/llama-index-legacy/llama_index/legacy/tts/elevenlabs.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/tts/elevenlabs.py",
"repo_id": "llama_index",
"token_count": 565
} | 1,781 |
# coding=utf-8
# 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 requir... | alignment-handbook/tests/test_data.py/0 | {
"file_path": "alignment-handbook/tests/test_data.py",
"repo_id": "alignment-handbook",
"token_count": 4201
} | 25 |
from typing import Optional
import requests
DEFAULT_HUGGINGFACE_EMBEDDING_MODEL = "BAAI/bge-small-en"
DEFAULT_INSTRUCT_MODEL = "hkunlp/instructor-base"
# Originally pulled from:
# https://github.com/langchain-ai/langchain/blob/v0.0.257/libs/langchain/langchain/embeddings/huggingface.py#L10
DEFAULT_EMBED_INSTRUCTION ... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/llama_index/embeddings/huggingface/utils.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/llama_index/embeddings/huggingface/utils.py",
"repo_id": "llama_index",
"token_count": 1383
} | 1,278 |
"""Question-answering with sources over an index."""
from typing import Any, Dict, List
from langchain_core.callbacks import (
AsyncCallbackManagerForChainRun,
CallbackManagerForChainRun,
)
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import Field
from langchain_core.retriever... | langchain/libs/langchain/langchain/chains/qa_with_sources/retrieval.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/qa_with_sources/retrieval.py",
"repo_id": "langchain",
"token_count": 990
} | 466 |
# Intro
Authors: @patrickvonplaten and @lhoestq
Aimed at tackling the knowledge-intensive NLP tasks (think tasks a human wouldn't be expected to solve without access to external knowledge sources), RAG models are seq2seq models with access to a retrieval mechanism providing relevant context documents at training and ... | transformers/examples/research_projects/rag/README.md/0 | {
"file_path": "transformers/examples/research_projects/rag/README.md",
"repo_id": "transformers",
"token_count": 3287
} | 586 |
"""Azure OpenAI embeddings wrapper."""
from __future__ import annotations
import os
from typing import Callable, Dict, Optional, Union
import openai
from langchain_core.pydantic_v1 import Field, SecretStr, root_validator
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
from langchain_open... | langchain/libs/partners/openai/langchain_openai/embeddings/azure.py/0 | {
"file_path": "langchain/libs/partners/openai/langchain_openai/embeddings/azure.py",
"repo_id": "langchain",
"token_count": 2855
} | 633 |
# Copyright 2023-present 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 law or... | peft/tests/test_config.py/0 | {
"file_path": "peft/tests/test_config.py",
"repo_id": "peft",
"token_count": 4091
} | 329 |
insert_get_performance:
collections:
-
milvus:
db_config.primary_path: /test/milvus/db_data_011/sift_1m_128_128_l2
collection_name: sift_1m_128_l2
ni_per: 50000
build_index: false
index_type: ivf_sq8
index_param:
nlist: 16384
ids_length_list:
[1, 1... | milvus/tests/benchmark/milvus_benchmark/suites/2_insert_get.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/2_insert_get.yaml",
"repo_id": "milvus",
"token_count": 176
} | 1,868 |
# coding=utf-8
# Copyright 2022 The Salesforce Team Authors and 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/licens... | transformers/src/transformers/models/blip/modeling_blip.py/0 | {
"file_path": "transformers/src/transformers/models/blip/modeling_blip.py",
"repo_id": "transformers",
"token_count": 25453
} | 607 |
import { test, expect } from "@jest/globals";
import { VoyageEmbeddings } from "../voyage.js";
test.skip("Test VoyageEmbeddings.embedQuery", async () => {
const embeddings = new VoyageEmbeddings();
const res = await embeddings.embedQuery("Hello world");
expect(typeof res[0]).toBe("number");
});
test.skip("Test... | langchainjs/libs/langchain-community/src/embeddings/tests/voyage.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/embeddings/tests/voyage.int.test.ts",
"repo_id": "langchainjs",
"token_count": 378
} | 1,057 |
from langchain_community.vectorstores.utils import (
DistanceStrategy,
filter_complex_metadata,
maximal_marginal_relevance,
)
__all__ = ["DistanceStrategy", "maximal_marginal_relevance", "filter_complex_metadata"]
| langchain/libs/langchain/langchain/vectorstores/utils.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/utils.py",
"repo_id": "langchain",
"token_count": 75
} | 619 |
/* eslint-disable no-process-env */
/* eslint-disable @typescript-eslint/no-non-null-assertion */
import { test, jest, expect } from "@jest/globals";
import S3Client from "@aws-sdk/client-s3";
import * as fs from "node:fs";
import * as path from "node:path";
import { S3Loader } from "../web/s3.js";
import { Unstructure... | langchainjs/langchain/src/document_loaders/tests/s3.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/s3.int.test.ts",
"repo_id": "langchainjs",
"token_count": 751
} | 923 |
import sys
import copy
import time
from loguru import logger
import pymilvus
from pymilvus import (
FieldSchema, CollectionSchema, DataType,
Collection, list_collections,
)
logger.remove()
logger.add(sys.stderr, format= "<green>{time:YYYY-MM-DD HH:mm:ss.SSS}</green> | "
"<level>{level: <8}</level> | "
"... | milvus/tests/python_client/deploy/scripts/utils.py/0 | {
"file_path": "milvus/tests/python_client/deploy/scripts/utils.py",
"repo_id": "milvus",
"token_count": 4878
} | 1,898 |
# LlamaIndex Readers Integration: Slack
| llama_index/llama-index-integrations/readers/llama-index-readers-slack/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-slack/README.md",
"repo_id": "llama_index",
"token_count": 9
} | 1,417 |
<jupyter_start><jupyter_text>Fine Tuning GPT-3.5-TurboIn this notebook, we walk through an example of fine-tuning gpt-3.5-turbo.Specifically, we attempt to distill GPT-4's knowledge, by generating training data with GPT-4 to then fine-tune GPT-3.5.All training data is generated using two different sections of our index... | llama_index/docs/examples/finetuning/openai_fine_tuning.ipynb/0 | {
"file_path": "llama_index/docs/examples/finetuning/openai_fine_tuning.ipynb",
"repo_id": "llama_index",
"token_count": 3529
} | 1,083 |
# coding=utf-8
# Copyright 2020 Google AI, Google Brain, the HuggingFace Inc. team and Microsoft Corporation.
#
# 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/lic... | transformers/examples/research_projects/bert-loses-patience/pabee/modeling_pabee_albert.py/0 | {
"file_path": "transformers/examples/research_projects/bert-loses-patience/pabee/modeling_pabee_albert.py",
"repo_id": "transformers",
"token_count": 6311
} | 518 |
import os
import tempfile
from typing import Callable, List, Optional
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
from langchain_community.document_loaders.unstructured import UnstructuredFileLoader
from langchain_community.utilities.vertexai import g... | langchain/libs/community/langchain_community/document_loaders/gcs_file.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/gcs_file.py",
"repo_id": "langchain",
"token_count": 1336
} | 237 |
# 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/examples/research_projects/wav2vec2/test_wav2vec2_deepspeed.py/0 | {
"file_path": "transformers/examples/research_projects/wav2vec2/test_wav2vec2_deepspeed.py",
"repo_id": "transformers",
"token_count": 2788
} | 580 |
from typing import Any
from llama_index.core.output_parsers.base import StructuredOutput
from llama_index.core.output_parsers.utils import parse_json_markdown
from llama_index.core.types import BaseOutputParser
from llama_index.core.vector_stores.types import VectorStoreQuerySpec
class VectorStoreQueryOutputParser(B... | llama_index/llama-index-core/llama_index/core/indices/vector_store/retrievers/auto_retriever/output_parser.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/vector_store/retrievers/auto_retriever/output_parser.py",
"repo_id": "llama_index",
"token_count": 220
} | 1,185 |
# Salute Devices
Salute Devices provides GigaChat LLM's models.
For more info how to get access to GigaChat [follow here](https://developers.sber.ru/docs/ru/gigachat/api/integration).
## Installation and Setup
GigaChat package can be installed via pip from PyPI:
```bash
pip install gigachat
```
## LLMs
See a [us... | langchain/docs/docs/integrations/providers/salute_devices.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/salute_devices.mdx",
"repo_id": "langchain",
"token_count": 191
} | 147 |
#![allow(dead_code)]
use libc::{c_char, c_double, c_float, c_int, c_long, c_ulong};
mod ffi {
use super::*;
extern "C" {
// It would be nice to be able to switch to the NEWLAPACK version of the function but this
// seems to trigger some link error. Available function names can be seen here:
... | candle/candle-core/src/accelerate.rs/0 | {
"file_path": "candle/candle-core/src/accelerate.rs",
"repo_id": "candle",
"token_count": 7639
} | 31 |
export { SqlCreatePromptArgs, SqlToolkit, createSqlAgent } from "./sql.js";
export { SQL_PREFIX, SQL_SUFFIX } from "./prompt.js";
| langchainjs/langchain/src/agents/toolkits/sql/index.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/toolkits/sql/index.ts",
"repo_id": "langchainjs",
"token_count": 50
} | 845 |
label: 'Experimental'
position: 6 | langchainjs/docs/core_docs/docs/modules/data_connection/experimental/_category_.yml/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/data_connection/experimental/_category_.yml",
"repo_id": "langchainjs",
"token_count": 10
} | 755 |
//! Support for the GGML file format.
#[cfg(feature = "metal")]
use super::metal::load_quantized_metal;
use super::{k_quants, GgmlDType, QStorage};
use crate::{Device, Result};
use byteorder::{LittleEndian, ReadBytesExt};
use std::collections::HashMap;
// https://github.com/ggerganov/llama.cpp/blob/468ea24fb4633a0d68... | candle/candle-core/src/quantized/ggml_file.rs/0 | {
"file_path": "candle/candle-core/src/quantized/ggml_file.rs",
"repo_id": "candle",
"token_count": 4693
} | 37 |
<jupyter_start><jupyter_text>John Snow Labs>[John Snow Labs](https://nlp.johnsnowlabs.com/) NLP & LLM ecosystem includes software libraries for state-of-the-art AI at scale, Responsible AI, No-Code AI, and access to over 20,000 models for Healthcare, Legal, Finance, etc.>>Models are loaded with [nlp.load](https://nlp.j... | langchain/docs/docs/integrations/text_embedding/johnsnowlabs_embedding.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/text_embedding/johnsnowlabs_embedding.ipynb",
"repo_id": "langchain",
"token_count": 735
} | 173 |
import base64
from typing import Any, Dict, Union
from llama_index.core.llms import ChatMessage, MessageRole
def is_gemini_model(model: str) -> bool:
return model.startswith("gemini")
def create_gemini_client(model: str) -> Any:
from vertexai.preview.generative_models import GenerativeModel
return Gen... | llama_index/llama-index-integrations/llms/llama-index-llms-vertex/llama_index/llms/vertex/gemini_utils.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-vertex/llama_index/llms/vertex/gemini_utils.py",
"repo_id": "llama_index",
"token_count": 825
} | 1,375 |
import json
from langchain_core.pydantic_v1 import BaseModel, Field, conint
class LLMPlateResponse(BaseModel):
row_start: conint(ge=0) = Field(
..., description="The starting row of the plate (0-indexed)"
)
row_end: conint(ge=0) = Field(
..., description="The ending row of the plate (0-in... | langchain/templates/plate-chain/plate_chain/utils.py/0 | {
"file_path": "langchain/templates/plate-chain/plate_chain/utils.py",
"repo_id": "langchain",
"token_count": 369
} | 677 |
# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors.
#
# 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
#
# U... | datasets/src/datasets/utils/version.py/0 | {
"file_path": "datasets/src/datasets/utils/version.py",
"repo_id": "datasets",
"token_count": 1291
} | 143 |
"""Summarize query."""
import logging
from typing import Any, List, Optional, cast
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.core.base_retriever import BaseRetriever
from llama_index.legacy.data_structs.data_structs import IndexGraph
from llama_index.legacy.indices.tree.bas... | llama_index/llama-index-legacy/llama_index/legacy/indices/tree/all_leaf_retriever.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/tree/all_leaf_retriever.py",
"repo_id": "llama_index",
"token_count": 737
} | 1,669 |
# Adapted from turboderp exllama: https://github.com/turboderp/exllamav2
import torch
import torch.nn as nn
from loguru import logger
try:
from exllamav2_kernels import make_q_matrix, gemm_half_q_half
except ImportError:
logger.error("exllamav2_kernels not installed.")
raise
# Dummy tensor to pass inste... | text-generation-inference/server/text_generation_server/utils/gptq/exllamav2.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/utils/gptq/exllamav2.py",
"repo_id": "text-generation-inference",
"token_count": 3518
} | 428 |
# How to read these docs
Welcome to the LlamaIndex documentation! We've tried hard to make these docs approachable regardless of your experience level with LlamaIndex and with LLMs and generative AI in general.
## Before you start
LlamaIndex is a Python library, so you should have Python [installed](https://www.pyth... | llama_index/docs/getting_started/reading.md/0 | {
"file_path": "llama_index/docs/getting_started/reading.md",
"repo_id": "llama_index",
"token_count": 612
} | 1,137 |
"""Base Managed Service index.
An index that is built on top of a managed service.
"""
from abc import ABC, abstractmethod
from typing import Any, Dict, List, Optional, Sequence, Type
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.core.callbacks.base import CallbackManager
from llama... | llama_index/llama-index-core/llama_index/core/indices/managed/base.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/managed/base.py",
"repo_id": "llama_index",
"token_count": 1366
} | 1,180 |
# coding=utf-8
# Copyright 2023 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
#
# Unless r... | transformers/src/transformers/models/clvp/configuration_clvp.py/0 | {
"file_path": "transformers/src/transformers/models/clvp/configuration_clvp.py",
"repo_id": "transformers",
"token_count": 8205
} | 634 |
# research-assistant
This template implements a version of
[GPT Researcher](https://github.com/assafelovic/gpt-researcher) that you can use
as a starting point for a research agent.
## Environment Setup
The default template relies on ChatOpenAI and DuckDuckGo, so you will need the
following environment variable:
... | langchain/templates/research-assistant/README.md/0 | {
"file_path": "langchain/templates/research-assistant/README.md",
"repo_id": "langchain",
"token_count": 654
} | 703 |
from llama_index.core.vector_stores.types import BasePydanticVectorStore
from llama_index.vector_stores.weaviate import WeaviateVectorStore
def test_class():
names_of_base_classes = [b.__name__ for b in WeaviateVectorStore.__mro__]
assert BasePydanticVectorStore.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-weaviate/tests/test_vector_stores_weaviate.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-weaviate/tests/test_vector_stores_weaviate.py",
"repo_id": "llama_index",
"token_count": 103
} | 1,632 |
# AssemblyAI Audio Transcript Loader
The AssemblyAI Audio Transcript Loader allows to transcribe audio files with the [AssemblyAI API](https://www.assemblyai.com/) and loads the transcribed text into documents.
To use it, you should have the `assemblyai` python package installed, and the environment variable `ASSEMBL... | llama_index/llama-index-integrations/readers/llama-index-readers-assemblyai/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-assemblyai/README.md",
"repo_id": "llama_index",
"token_count": 1022
} | 1,322 |
# coding=utf-8
# Copyright 2021, The Facebook, Inc. 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/... | transformers/src/transformers/models/blenderbot_small/tokenization_blenderbot_small_fast.py/0 | {
"file_path": "transformers/src/transformers/models/blenderbot_small/tokenization_blenderbot_small_fast.py",
"repo_id": "transformers",
"token_count": 2174
} | 574 |
#!/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/pytorch/text-classification/run_classification.py/0 | {
"file_path": "transformers/examples/pytorch/text-classification/run_classification.py",
"repo_id": "transformers",
"token_count": 14066
} | 554 |
python_tests()
| llama_index/llama-index-integrations/llms/llama-index-llms-openai-like/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-openai-like/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,412 |
from langchain_community.document_loaders.github import GitHubIssuesLoader
def test_issues_load() -> None:
title = " Add caching to BaseChatModel (issue #1644)"
loader = GitHubIssuesLoader(
repo="langchain-ai/langchain",
creator="UmerHA",
state="all",
per_page=3,
page=2... | langchain/libs/community/tests/integration_tests/document_loaders/test_github.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_github.py",
"repo_id": "langchain",
"token_count": 221
} | 328 |
# 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/ernie/modeling_ernie.py/0 | {
"file_path": "transformers/src/transformers/models/ernie/modeling_ernie.py",
"repo_id": "transformers",
"token_count": 35703
} | 660 |
"""Test keyword table index."""
from typing import Any, List
from unittest.mock import patch
import pytest
from llama_index.core.indices.keyword_table.simple_base import (
SimpleKeywordTableIndex,
)
from llama_index.core.schema import Document
from llama_index.core.service_context import ServiceContext
from tests... | llama_index/llama-index-core/tests/indices/keyword_table/test_base.py/0 | {
"file_path": "llama_index/llama-index-core/tests/indices/keyword_table/test_base.py",
"repo_id": "llama_index",
"token_count": 2603
} | 1,261 |
package backend
import (
"encoding/json"
"github.com/golang/protobuf/proto"
"github.com/milvus-io/milvus/cmd/tools/migration/console"
)
type BackupHeaderVersion int32
const (
BackupHeaderVersionV1 BackupHeaderVersion = iota
)
// BackupHeader stores etcd backup header information
type BackupHeader struct {
//... | milvus/cmd/tools/migration/backend/backup_header.go/0 | {
"file_path": "milvus/cmd/tools/migration/backend/backup_header.go",
"repo_id": "milvus",
"token_count": 783
} | 1,754 |
from typing import Dict, List, Optional
# TODO: remove ignore once the google package is published with types
import google.generativeai as genai # type: ignore[import]
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel, Field, SecretStr, root_validator
from langchain_co... | langchain/libs/partners/google-genai/langchain_google_genai/embeddings.py/0 | {
"file_path": "langchain/libs/partners/google-genai/langchain_google_genai/embeddings.py",
"repo_id": "langchain",
"token_count": 1681
} | 625 |
"""Util that calls clickup."""
import json
import warnings
from dataclasses import asdict, dataclass, fields
from typing import Any, Dict, List, Mapping, Optional, Tuple, Type, Union
import requests
from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
from langchain_core.utils import get_from_dict_... | langchain/libs/community/langchain_community/utilities/clickup.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/clickup.py",
"repo_id": "langchain",
"token_count": 8697
} | 304 |
<jupyter_start><jupyter_text>Obsidian>[Obsidian](https://obsidian.md/) is a powerful and extensible knowledge basethat works on top of your local folder of plain text files.This notebook covers how to load documents from an `Obsidian` database.Since `Obsidian` is just stored on disk as a folder of Markdown files, the l... | langchain/docs/docs/integrations/document_loaders/obsidian.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/obsidian.ipynb",
"repo_id": "langchain",
"token_count": 230
} | 119 |
.. mdinclude:: ../../CHANGELOG.md
| llama_index/docs/changes/changelog.rst/0 | {
"file_path": "llama_index/docs/changes/changelog.rst",
"repo_id": "llama_index",
"token_count": 14
} | 1,037 |
# coding=utf-8
# Copyright 2022 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
#
# Unless r... | transformers/src/transformers/models/owlvit/configuration_owlvit.py/0 | {
"file_path": "transformers/src/transformers/models/owlvit/configuration_owlvit.py",
"repo_id": "transformers",
"token_count": 6648
} | 642 |
"""Google's hosted Gemini API."""
import os
import typing
from typing import Any, Dict, Optional, Sequence
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseGen,
CompletionResponse,
CompletionResponseGen,
LLMMetadata,
)
from llama_index.core.bridge.pydantic i... | llama_index/llama-index-integrations/llms/llama-index-llms-gemini/llama_index/llms/gemini/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-gemini/llama_index/llms/gemini/base.py",
"repo_id": "llama_index",
"token_count": 3018
} | 1,395 |
""" EfficientFormer-V2
@article{
li2022rethinking,
title={Rethinking Vision Transformers for MobileNet Size and Speed},
author={Li, Yanyu and Hu, Ju and Wen, Yang and Evangelidis, Georgios and Salahi, Kamyar and Wang, Yanzhi and Tulyakov, Sergey and Ren, Jian},
journal={arXiv preprint arXiv:2212.08059}... | pytorch-image-models/timm/models/efficientformer_v2.py/0 | {
"file_path": "pytorch-image-models/timm/models/efficientformer_v2.py",
"repo_id": "pytorch-image-models",
"token_count": 12721
} | 342 |
---
sidebar_position: 1
---
# Concepts
The core element of any language model application is... the model. LangChain gives you the building blocks to interface with any language model. Everything in this section is about making it easier to work with models. This largely involves a clear interface for what a model is... | langchainjs/docs/core_docs/docs/modules/model_io/concepts.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/concepts.mdx",
"repo_id": "langchainjs",
"token_count": 1707
} | 761 |
// 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/proxy/task_query_test.go/0 | {
"file_path": "milvus/internal/proxy/task_query_test.go",
"repo_id": "milvus",
"token_count": 12510
} | 1,888 |
python_sources()
| llama_index/llama-index-core/llama_index/core/evaluation/benchmarks/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/evaluation/benchmarks/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,208 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/callbacks/llama-index-callbacks-honeyhive/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-honeyhive/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,292 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-chroma/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-chroma/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,415 |
<!--Copyright 2024 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... | diffusers/docs/source/en/using-diffusers/depth2img.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/depth2img.md",
"repo_id": "diffusers",
"token_count": 878
} | 194 |
from __future__ import annotations
from typing import List
from langchain_community.agent_toolkits.base import BaseToolkit
from langchain_community.tools import BaseTool
from langchain_community.tools.json.tool import (
JsonGetValueTool,
JsonListKeysTool,
JsonSpec,
)
class JsonToolkit(BaseToolkit):
... | langchain/libs/community/langchain_community/agent_toolkits/json/toolkit.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/json/toolkit.py",
"repo_id": "langchain",
"token_count": 225
} | 229 |
include settings.ini
include LICENSE
include CONTRIBUTING.md
include README.md
recursive-exclude * __pycache__
| trl/MANIFEST.in/0 | {
"file_path": "trl/MANIFEST.in",
"repo_id": "trl",
"token_count": 34
} | 803 |
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