text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
python_sources()
| llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-firestore/llama_index/storage/docstore/firestore/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-firestore/llama_index/storage/docstore/firestore/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,402 |
<!--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/de/transformers_agents.md/0 | {
"file_path": "transformers/docs/source/de/transformers_agents.md",
"repo_id": "transformers",
"token_count": 6629
} | 432 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-clarifai/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-clarifai/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,269 |
python_sources()
| llama_index/experimental/cli/BUILD/0 | {
"file_path": "llama_index/experimental/cli/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,112 |
import {
AudioTranscriptLoader,
// AudioTranscriptParagraphsLoader,
// AudioTranscriptSentencesLoader
} from "langchain/document_loaders/web/assemblyai";
// You can also use a local file path and the loader will upload it to AssemblyAI for you.
const audioUrl = "https://storage.googleapis.com/aai-docs-samples/es... | langchainjs/examples/src/document_loaders/assemblyai_audio_transcription.ts/0 | {
"file_path": "langchainjs/examples/src/document_loaders/assemblyai_audio_transcription.ts",
"repo_id": "langchainjs",
"token_count": 257
} | 769 |
<!--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 applicable law or agreed... | transformers/docs/source/es/autoclass_tutorial.md/0 | {
"file_path": "transformers/docs/source/es/autoclass_tutorial.md",
"repo_id": "transformers",
"token_count": 2038
} | 532 |
import { TavilySearchResults } from "@langchain/community/tools/tavily_search";
import { AgentExecutor, createStructuredChatAgent } from "langchain/agents";
import { pull } from "langchain/hub";
import type { ChatPromptTemplate } from "@langchain/core/prompts";
import { HumanMessage, AIMessage } from "@langchain/core/m... | langchainjs/examples/src/agents/structured_chat.ts/0 | {
"file_path": "langchainjs/examples/src/agents/structured_chat.ts",
"repo_id": "langchainjs",
"token_count": 423
} | 794 |
from dataclasses import dataclass, field
from typing import Optional
import torch
from peft import PeftConfig, PeftModel
from transformers import AutoModelForCausalLM, AutoModelForSequenceClassification, AutoTokenizer, HfArgumentParser
@dataclass
class ScriptArguments:
"""
The input names representing the Ad... | trl/examples/research_projects/stack_llama/scripts/merge_peft_adapter.py/0 | {
"file_path": "trl/examples/research_projects/stack_llama/scripts/merge_peft_adapter.py",
"repo_id": "trl",
"token_count": 657
} | 786 |
# coding=utf-8
# Copyright 2021 The Google AI Flax Team Authors, and The HuggingFace Inc. team.
# Copyright (c) 2020, 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 o... | transformers/src/transformers/generation/flax_utils.py/0 | {
"file_path": "transformers/src/transformers/generation/flax_utils.py",
"repo_id": "transformers",
"token_count": 21749
} | 634 |
export {
type TemplateFormat,
parseFString,
interpolateFString,
DEFAULT_FORMATTER_MAPPING,
DEFAULT_PARSER_MAPPING,
renderTemplate,
parseTemplate,
checkValidTemplate,
} from "@langchain/core/prompts";
| langchainjs/langchain/src/prompts/template.ts/0 | {
"file_path": "langchainjs/langchain/src/prompts/template.ts",
"repo_id": "langchainjs",
"token_count": 76
} | 901 |
# LlamaIndex Index_Store Integration: Firestore Indexstore
| llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-firestore/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-firestore/README.md",
"repo_id": "llama_index",
"token_count": 14
} | 1,493 |
from typing import Any, List, Optional
from llama_index.core.bridge.pydantic import Field, PrivateAttr
from llama_index.core.callbacks import CBEventType, EventPayload
from llama_index.core.postprocessor.types import BaseNodePostprocessor
from llama_index.core.schema import MetadataMode, NodeWithScore, QueryBundle
c... | llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-flag-embedding-reranker/llama_index/postprocessor/flag_embedding_reranker/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-flag-embedding-reranker/llama_index/postprocessor/flag_embedding_reranker/base.py",
"repo_id": "llama_index",
"token_count": 1326
} | 1,250 |
from __future__ import annotations
from typing import Any, List, Literal, Optional
from langchain_core.embeddings import Embeddings
from langchain_community.vectorstores.docarray.base import (
DocArrayIndex,
_check_docarray_import,
)
class DocArrayHnswSearch(DocArrayIndex):
"""`HnswLib` storage using `... | langchain/libs/community/langchain_community/vectorstores/docarray/hnsw.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/docarray/hnsw.py",
"repo_id": "langchain",
"token_count": 1826
} | 309 |
<!--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 applicable law or agreed... | transformers/docs/source/en/multilingual.md/0 | {
"file_path": "transformers/docs/source/en/multilingual.md",
"repo_id": "transformers",
"token_count": 2530
} | 475 |
<jupyter_start><jupyter_text>Chroma AuthenticationThis tutorial aims to explain how authentication can be setup in Chroma.> **Important**: The concept of authentication is only applicable to Client/Server deployments. If you are using Chroma in a standalone mode, authentication is not applicable. Concepts Architecture ... | chroma/examples/basic_functionality/client_auth.ipynb/0 | {
"file_path": "chroma/examples/basic_functionality/client_auth.ipynb",
"repo_id": "chroma",
"token_count": 1986
} | 39 |
from typing import Any, Dict, List
from langchain_core.memory import BaseMemory
class ReadOnlySharedMemory(BaseMemory):
"""A memory wrapper that is read-only and cannot be changed."""
memory: BaseMemory
@property
def memory_variables(self) -> List[str]:
"""Return memory variables."""
... | langchain/libs/langchain/langchain/memory/readonly.py/0 | {
"file_path": "langchain/libs/langchain/langchain/memory/readonly.py",
"repo_id": "langchain",
"token_count": 284
} | 531 |
"""Functionality for loading agents."""
import json
import logging
from pathlib import Path
from typing import Any, List, Optional, Union
import yaml
from langchain_core._api import deprecated
from langchain_core.language_models import BaseLanguageModel
from langchain_core.tools import Tool
from langchain_core.utils.l... | langchain/libs/langchain/langchain/agents/loading.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/loading.py",
"repo_id": "langchain",
"token_count": 1809
} | 474 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/program/llama-index-program-openai/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/program/llama-index-program-openai/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,271 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-couchdb/llama_index/readers/couchdb/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-couchdb/llama_index/readers/couchdb/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,352 |
ETCD_VERSION=3.5.0
set -xe
date_str="$(date +%Y%m%d)"
short_hash="$(git log -1 --pretty=%h)"
version="${date_str}-${short_hash}"
target_filename="milvus-windows-${version}.zip"
script_dir="$(cd $(dirname $0); pwd)"
repo_dir="$(dirname ${script_dir})"
bin_dir="${repo_dir}/bin"
package_dir="${repo_dir}/windows_packag... | milvus/scripts/package_windows.sh/0 | {
"file_path": "milvus/scripts/package_windows.sh",
"repo_id": "milvus",
"token_count": 636
} | 2,128 |
# Simple self-RAG short form pack
This LlamaPack implements (\*in short form) the [self-RAG paper by Akari et al.](https://arxiv.org/pdf/2310.11511.pdf).
This paper presents a novel framework called Self-Reflective Retrieval-Augmented Generation (SELF-RAG). Which aims to enhance the quality and factuality of large la... | llama_index/llama-index-packs/llama-index-packs-self-rag/README.md/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-self-rag/README.md",
"repo_id": "llama_index",
"token_count": 723
} | 1,603 |
# 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/tests/others/test_check_copies.py/0 | {
"file_path": "diffusers/tests/others/test_check_copies.py",
"repo_id": "diffusers",
"token_count": 2032
} | 274 |
# coding=utf-8
# Copyright 2021, 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 ... | transformers/tests/models/bart/test_modeling_bart.py/0 | {
"file_path": "transformers/tests/models/bart/test_modeling_bart.py",
"repo_id": "transformers",
"token_count": 35938
} | 746 |
<jupyter_start><jupyter_text>Returning sourcesOften in Q&A applications it’s important to show users the sources that were used to generate the answer. The simplest way to do this is for the chain to return the Documents that were retrieved in each generation.We’ll work off of the Q&A app we built over the [LLM Powered... | langchainjs/docs/core_docs/docs/use_cases/question_answering/sources.ipynb/0 | {
"file_path": "langchainjs/docs/core_docs/docs/use_cases/question_answering/sources.ipynb",
"repo_id": "langchainjs",
"token_count": 1265
} | 776 |
<jupyter_start><jupyter_text>AsyncHtml`AsyncHtmlLoader` loads raw HTML from a list of URLs concurrently.<jupyter_code>from langchain_community.document_loaders import AsyncHtmlLoader
urls = ["https://www.espn.com", "https://lilianweng.github.io/posts/2023-06-23-agent/"]
loader = AsyncHtmlLoader(urls)
docs = loader.load... | langchain/docs/docs/integrations/document_loaders/async_html.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/async_html.ipynb",
"repo_id": "langchain",
"token_count": 152
} | 107 |
python_tests()
| llama_index/llama-index-integrations/program/llama-index-program-evaporate/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/program/llama-index-program-evaporate/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,441 |
Collections:
-
testcase:
name: test_etcd_io_latency
chaos: chaos_etcd_io_latency.yaml
expectation:
cluster_1_node:
create: fail
insert: fail
flush: fail
index: fail
search: fail
query: fail
-
testcase:
name: test_mi... | milvus/tests/python_client/chaos/chaos_objects/io_latency/testcases.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/io_latency/testcases.yaml",
"repo_id": "milvus",
"token_count": 446
} | 1,964 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "vectorstores/convex",
});
export * from "@langchain/community/vectorstores/convex";
| langchainjs/langchain/src/vectorstores/convex.ts/0 | {
"file_path": "langchainjs/langchain/src/vectorstores/convex.ts",
"repo_id": "langchainjs",
"token_count": 74
} | 1,003 |
import concurrent
import logging
import random
from pathlib import Path
from typing import Any, List, Optional, Sequence, Type, Union
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
from langchain_community.document_loaders.html_bs import BSHTMLLoader
fro... | langchain/libs/community/langchain_community/document_loaders/directory.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/directory.py",
"repo_id": "langchain",
"token_count": 3493
} | 235 |
#!/usr/bin/env python
# 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/L... | transformers/src/transformers/tools/base.py/0 | {
"file_path": "transformers/src/transformers/tools/base.py",
"repo_id": "transformers",
"token_count": 12529
} | 705 |
from .env import Env
from .hardware import Hardware
from .metric import Metric
from .server import Server
| milvus/tests/benchmark/milvus_benchmark/metrics/models/__init__.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/metrics/models/__init__.py",
"repo_id": "milvus",
"token_count": 28
} | 1,854 |
// 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/storage/ChunkManager.cpp/0 | {
"file_path": "milvus/internal/core/src/storage/ChunkManager.cpp",
"repo_id": "milvus",
"token_count": 3738
} | 1,890 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "llms/llama_cpp",
});
export * from "@langchain/community/llms/llama_cpp";
| langchainjs/langchain/src/llms/llama_cpp.ts/0 | {
"file_path": "langchainjs/langchain/src/llms/llama_cpp.ts",
"repo_id": "langchainjs",
"token_count": 76
} | 915 |
python_tests()
| llama_index/llama-index-packs/llama-index-packs-dense-x-retrieval/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-dense-x-retrieval/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,783 |
.. _Ref-Storage-KVStore:
KV Storage
=================
.. automodule:: llama_index.core.storage.kvstore
:members:
:inherited-members:
| llama_index/docs/api_reference/storage/kv_store.rst/0 | {
"file_path": "llama_index/docs/api_reference/storage/kv_store.rst",
"repo_id": "llama_index",
"token_count": 54
} | 1,063 |
import CodeBlock from "@theme/CodeBlock";
# Backgrounding callbacks
By default callbacks run in-line with the your chain/LLM run. This means that if you have a slow callback you can see an impact on the overall latency of your runs. You can make callbacks not be awaited by setting the environment variable `LANGCHAIN_... | langchainjs/docs/core_docs/docs/modules/callbacks/how_to/background_callbacks.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/callbacks/how_to/background_callbacks.mdx",
"repo_id": "langchainjs",
"token_count": 180
} | 725 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use anyhow::Result;
use candle::{test_utils, Device, Tensor};
use candle_nn::{LayerNorm, Module};
#[test]
fn layer_norm() -> Result<()> {
let device = &Device::Cpu;
let w = Tensor::new(&[3f32], dev... | candle/candle-nn/tests/layer_norm.rs/0 | {
"file_path": "candle/candle-nn/tests/layer_norm.rs",
"repo_id": "candle",
"token_count": 733
} | 65 |
use crate::tokenizer::{Decoder, Result};
use serde::{Deserialize, Serialize};
#[derive(Deserialize, Clone, Debug, Serialize, Default)]
/// Strip is a simple trick which converts tokens looking like `<0x61>`
/// to pure bytes, and attempts to make them into a string. If the tokens
/// cannot be decoded you will get � ... | tokenizers/tokenizers/src/decoders/strip.rs/0 | {
"file_path": "tokenizers/tokenizers/src/decoders/strip.rs",
"repo_id": "tokenizers",
"token_count": 1217
} | 429 |
import type { InputValues, PartialValues } from "../utils/types.js";
import type { SerializedBasePromptTemplate } from "./serde.js";
import { BasePromptTemplate, type BasePromptTemplateInput } from "./base.js";
import { ChatPromptTemplate } from "./chat.js";
/**
* Type that includes the name of the prompt and the pro... | langchainjs/langchain-core/src/prompts/pipeline.ts/0 | {
"file_path": "langchainjs/langchain-core/src/prompts/pipeline.ts",
"repo_id": "langchainjs",
"token_count": 2059
} | 829 |
# Evaluating
## Concept
Evaluation and benchmarking are crucial concepts in LLM development. To improve the performance of an LLM app (RAG, agents), you must have a way to measure it.
LlamaIndex offers key modules to measure the quality of generated results. We also offer key modules to measure retrieval quality.
-... | llama_index/docs/module_guides/evaluating/root.md/0 | {
"file_path": "llama_index/docs/module_guides/evaluating/root.md",
"repo_id": "llama_index",
"token_count": 958
} | 1,225 |
from unittest.mock import patch
from llama_index.core.llms import CompletionResponse
from llama_index.core.selectors.llm_selectors import (
LLMMultiSelector,
LLMSingleSelector,
)
from llama_index.core.service_context import ServiceContext
from tests.mock_utils.mock_predict import _mock_single_select
def test... | llama_index/llama-index-core/tests/selectors/test_llm_selectors.py/0 | {
"file_path": "llama_index/llama-index-core/tests/selectors/test_llm_selectors.py",
"repo_id": "llama_index",
"token_count": 679
} | 1,232 |
import { AsyncCaller, AsyncCallerParams } from "./utils/async_caller.js";
/**
* The parameters required to initialize an instance of the Embeddings
* class.
*/
export type EmbeddingsParams = AsyncCallerParams;
export interface EmbeddingsInterface {
/**
* An abstract method that takes an array of documents as ... | langchainjs/langchain-core/src/embeddings.ts/0 | {
"file_path": "langchainjs/langchain-core/src/embeddings.ts",
"repo_id": "langchainjs",
"token_count": 579
} | 924 |
export { ChromaClient } from './ChromaClient';
export { AdminClient } from './AdminClient';
export { CloudClient } from './CloudClient';
export { Collection } from './Collection';
export { IEmbeddingFunction } from './embeddings/IEmbeddingFunction';
export { OpenAIEmbeddingFunction } from './embeddings/OpenAIEmbedding... | chroma/clients/js/src/index.ts/0 | {
"file_path": "chroma/clients/js/src/index.ts",
"repo_id": "chroma",
"token_count": 489
} | 30 |
[
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 50278,
"logprob": null,
"text": "<|USER|>"
},
{
"id": 1276,
"logprob": -4.5546875,
"text":... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_neox/test_flash_neox_load.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_neox/test_flash_neox_load.json",
"repo_id": "text-generation-inference",
"token_count": 6308
} | 394 |
# coding=utf-8
# Copyright 2022 Intel Labs, OpenMMLab 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/license... | transformers/src/transformers/models/dpt/modeling_dpt.py/0 | {
"file_path": "transformers/src/transformers/models/dpt/modeling_dpt.py",
"repo_id": "transformers",
"token_count": 24042
} | 656 |
<jupyter_start><jupyter_text>Unit 8 Part 2: Advanced Deep Reinforcement Learning. Using Sample Factory to play Doom from pixelsIn this notebook, we will learn how to train a Deep Neural Network to collect objects in a 3D environment based on the game of Doom, a video of the resulting policy is shown below. We train thi... | deep-rl-class/notebooks/unit8/unit8_part2.ipynb/0 | {
"file_path": "deep-rl-class/notebooks/unit8/unit8_part2.ipynb",
"repo_id": "deep-rl-class",
"token_count": 4950
} | 156 |
.PHONY: clean-ptx clean test
clean-ptx:
find target -name "*.ptx" -type f -delete
echo "" > candle-kernels/src/lib.rs
touch candle-kernels/build.rs
touch candle-examples/build.rs
touch candle-flash-attn/build.rs
clean:
cargo clean
test:
cargo test
all: test
| candle/Makefile/0 | {
"file_path": "candle/Makefile",
"repo_id": "candle",
"token_count": 107
} | 24 |
"""MangoppsGuides reader."""
import re
from typing import List
from urllib.parse import urlparse
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class MangoppsGuidesReader(BaseReader):
"""MangoppsGuides reader. Reads data from a MangoppsGuides workspace.
Ar... | llama_index/llama-index-integrations/readers/llama-index-readers-mangoapps-guides/llama_index/readers/mangoapps_guides/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-mangoapps-guides/llama_index/readers/mangoapps_guides/base.py",
"repo_id": "llama_index",
"token_count": 2345
} | 1,345 |
// 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/storage/MemFileManagerImpl.h/0 | {
"file_path": "milvus/internal/core/src/storage/MemFileManagerImpl.h",
"repo_id": "milvus",
"token_count": 821
} | 1,807 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "vectorstores/singlestore",
});
export * from "@langchain/community/vectorstores/singlestore";
| langchainjs/langchain/src/vectorstores/singlestore.ts/0 | {
"file_path": "langchainjs/langchain/src/vectorstores/singlestore.ts",
"repo_id": "langchainjs",
"token_count": 74
} | 966 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/src/diffusers/models/activations.py/0 | {
"file_path": "diffusers/src/diffusers/models/activations.py",
"repo_id": "diffusers",
"token_count": 1678
} | 238 |
"""Tool for the Exa Search API."""
from typing import Dict, List, Optional, Union
from exa_py import Exa # type: ignore
from exa_py.api import HighlightsContentsOptions, TextContentsOptions # type: ignore
from langchain_core.callbacks import (
CallbackManagerForToolRun,
)
from langchain_core.pydantic_v1 import ... | langchain/libs/partners/exa/langchain_exa/tools.py/0 | {
"file_path": "langchain/libs/partners/exa/langchain_exa/tools.py",
"repo_id": "langchain",
"token_count": 2008
} | 614 |
# 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/unet_2d_blocks.py/0 | {
"file_path": "diffusers/src/diffusers/models/unet_2d_blocks.py",
"repo_id": "diffusers",
"token_count": 7248
} | 243 |
<jupyter_start><jupyter_text>AWS S3 File>[Amazon Simple Storage Service (Amazon S3)](https://docs.aws.amazon.com/AmazonS3/latest/userguide/using-folders.html) is an object storage service.>[AWS S3 Buckets](https://docs.aws.amazon.com/AmazonS3/latest/userguide/UsingBucket.html)This covers how to load document objects fr... | langchain/docs/docs/integrations/document_loaders/aws_s3_file.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/aws_s3_file.ipynb",
"repo_id": "langchain",
"token_count": 385
} | 102 |
<jupyter_start><jupyter_text>Milvus Vector Store In this notebook we are going to show a quick demo of using the MilvusVectorStore. If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-vector-stores-milvus
! pip install llama-index
import logg... | llama_index/docs/examples/vector_stores/MilvusIndexDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/MilvusIndexDemo.ipynb",
"repo_id": "llama_index",
"token_count": 1714
} | 1,083 |
poetry_requirements(
name="poetry",
)
python_sources(
interpreter_constraints=["==3.10.*"],
)
| llama_index/llama-index-integrations/retrievers/llama-index-retrievers-pathway/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/retrievers/llama-index-retrievers-pathway/BUILD",
"repo_id": "llama_index",
"token_count": 48
} | 1,447 |
from langchain_core.agents import AgentAction, AgentFinish
from langchain.agents.output_parsers.self_ask import SelfAskOutputParser
def test_follow_up() -> None:
"""Test follow up parsing."""
parser = SelfAskOutputParser()
_input = "Follow up: what is two + 2"
output = parser.invoke(_input)
expec... | langchain/libs/langchain/tests/unit_tests/agents/output_parsers/test_self_ask.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/agents/output_parsers/test_self_ask.py",
"repo_id": "langchain",
"token_count": 578
} | 646 |
<jupyter_start><jupyter_text>ChatGLM[ChatGLM-6B](https://github.com/THUDM/ChatGLM-6B) is an open bilingual language model based on General Language Model (GLM) framework, with 6.2 billion parameters. With the quantization technique, users can deploy locally on consumer-grade graphics cards (only 6GB of GPU memory is re... | langchain/docs/docs/integrations/llms/chatglm.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/chatglm.ipynb",
"repo_id": "langchain",
"token_count": 1323
} | 126 |
import { GoogleAuthOptions } from "google-auth-library";
import { GoogleVertexAILLMConnection } from "../../utils/googlevertexai-connection.js";
import { GoogleVertexAIBaseLLMInput } from "../../types/googlevertexai-types.js";
import { BaseGoogleVertexAI } from "./common.js";
import { GAuthClient } from "../../utils/go... | langchainjs/libs/langchain-community/src/llms/googlevertexai/index.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/llms/googlevertexai/index.ts",
"repo_id": "langchainjs",
"token_count": 658
} | 1,060 |
import pytest
from tokenizers import CharBPETokenizer
from ..utils import data_dir, multiprocessing_with_parallelism, openai_files
class TestCharBPETokenizer:
def test_basic_encode(self, openai_files):
tokenizer = CharBPETokenizer.from_file(openai_files["vocab"], openai_files["merges"])
output ... | tokenizers/bindings/python/tests/implementations/test_char_bpe.py/0 | {
"file_path": "tokenizers/bindings/python/tests/implementations/test_char_bpe.py",
"repo_id": "tokenizers",
"token_count": 1099
} | 468 |
#!/usr/bin/env python3
import argparse
import re
from typing import Dict
import torch
from datasets import Audio, Dataset, load_dataset, load_metric
from transformers import AutoFeatureExtractor, pipeline
def log_results(result: Dataset, args: Dict[str, str]):
"""DO NOT CHANGE. This function computes and logs t... | transformers/examples/research_projects/robust-speech-event/eval.py/0 | {
"file_path": "transformers/examples/research_projects/robust-speech-event/eval.py",
"repo_id": "transformers",
"token_count": 1852
} | 552 |
# Using OpenAI functions
This walkthrough demonstrates how to incorporate OpenAI function-calling API's in a chain. We'll go over:
1. How to use functions to get structured outputs from ChatOpenAI
2. How to create a generic chain that uses (multiple) functions
3. How to create a chain that actually executes the chose... | langchainjs/docs/core_docs/docs/modules/chains/additional/openai_functions/index.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/chains/additional/openai_functions/index.mdx",
"repo_id": "langchainjs",
"token_count": 557
} | 752 |
#!/usr/bin/env python
# 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... | transformers/src/transformers/commands/transformers_cli.py/0 | {
"file_path": "transformers/src/transformers/commands/transformers_cli.py",
"repo_id": "transformers",
"token_count": 625
} | 569 |
from typing import Optional
from unittest.mock import MagicMock
import pytest
from langsmith.evaluation.evaluator import (
DynamicRunEvaluator,
EvaluationResult,
EvaluationResults,
Example,
Run,
run_evaluator,
)
@pytest.fixture
def run_1() -> Run:
run = MagicMock()
run.inputs = {"inp... | langsmith-sdk/python/tests/unit_tests/evaluation/test_evaluator.py/0 | {
"file_path": "langsmith-sdk/python/tests/unit_tests/evaluation/test_evaluator.py",
"repo_id": "langsmith-sdk",
"token_count": 1787
} | 1,083 |
# Backend Dockerfile
FROM python:3.11
# Install system dependencies
RUN apt-get update && apt-get install -y libmagic1 && rm -rf /var/lib/apt/lists/*
# Set the working directory
WORKDIR /backend
COPY . .
RUN rm poetry.lock
RUN pip install .
ENTRYPOINT [ "uvicorn", "app.server:app", "--host", "0.0.0.0" ]
| opengpts/backend/Dockerfile/0 | {
"file_path": "opengpts/backend/Dockerfile",
"repo_id": "opengpts",
"token_count": 118
} | 2,016 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-packs/llama-index-packs-snowflake-query-engine/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-snowflake-query-engine/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,819 |
# coding=utf-8
# 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 requir... | transformers/tests/models/codegen/test_modeling_codegen.py/0 | {
"file_path": "transformers/tests/models/codegen/test_modeling_codegen.py",
"repo_id": "transformers",
"token_count": 10622
} | 708 |
from ...utils import is_torch_available
if is_torch_available():
from .dual_transformer_2d import DualTransformer2DModel
from .prior_transformer import PriorTransformer
from .t5_film_transformer import T5FilmDecoder
from .transformer_2d import Transformer2DModel
from .transformer_temporal import T... | diffusers/src/diffusers/models/transformers/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/models/transformers/__init__.py",
"repo_id": "diffusers",
"token_count": 110
} | 245 |
from langchain_community.document_loaders.readthedocs import (
ReadTheDocsLoader,
)
__all__ = [
"ReadTheDocsLoader",
]
| langchain/libs/langchain/langchain/document_loaders/readthedocs.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/readthedocs.py",
"repo_id": "langchain",
"token_count": 51
} | 515 |
# Copyright 2024 Open AI 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/licenses/LICENSE-2.0
#
# Unless required ... | diffusers/src/diffusers/pipelines/shap_e/renderer.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/shap_e/renderer.py",
"repo_id": "diffusers",
"token_count": 18166
} | 262 |
"""init.py."""
from llama_index.tools.code_interpreter.base import (
CodeInterpreterToolSpec,
)
__all__ = ["CodeInterpreterToolSpec"]
| llama_index/llama-index-integrations/tools/llama-index-tools-code-interpreter/llama_index/tools/code_interpreter/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-code-interpreter/llama_index/tools/code_interpreter/__init__.py",
"repo_id": "llama_index",
"token_count": 52
} | 1,475 |
# Tracing and Debugging
Debugging and tracing the operation of your application is key to understanding and optimizing it. LlamaIndex provides a variety of ways to do this.
## Basic logging
The simplest possible way to look into what your application is doing is to turn on debug logging. That can be done anywhere in... | llama_index/docs/understanding/tracing_and_debugging/tracing_and_debugging.md/0 | {
"file_path": "llama_index/docs/understanding/tracing_and_debugging/tracing_and_debugging.md",
"repo_id": "llama_index",
"token_count": 488
} | 1,104 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "llms/sagemaker_endpoint",
});
export * from "@langchain/community/llms/sagemaker_endpoint";
| langchainjs/langchain/src/llms/sagemaker_endpoint.ts/0 | {
"file_path": "langchainjs/langchain/src/llms/sagemaker_endpoint.ts",
"repo_id": "langchainjs",
"token_count": 80
} | 916 |
import pytest
from langchain_core.documents import Document
from langchain.indexes._api import _HashedDocument
def test_hashed_document_hashing() -> None:
hashed_document = _HashedDocument(
uid="123", page_content="Lorem ipsum dolor sit amet", metadata={"key": "value"}
)
assert isinstance(hashed_... | langchain/libs/langchain/tests/unit_tests/indexes/test_hashed_document.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/indexes/test_hashed_document.py",
"repo_id": "langchain",
"token_count": 621
} | 601 |
/* eslint-disable @typescript-eslint/no-non-null-assertion */
/* eslint-disable no-process-env */
import { test } from "@jest/globals";
import { createClient } from "@vercel/kv";
import { VercelKVStore } from "../vercel_kv.js";
const getClient = () => {
if (!process.env.VERCEL_KV_API_URL || !process.env.VERCEL_KV_A... | langchainjs/libs/langchain-community/src/storage/tests/vercel_kv.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/storage/tests/vercel_kv.int.test.ts",
"repo_id": "langchainjs",
"token_count": 1015
} | 980 |
from langchain_experimental.tools.python.tool import PythonAstREPLTool, PythonREPLTool
__all__ = ["PythonREPLTool", "PythonAstREPLTool"]
| langchain/libs/experimental/langchain_experimental/tools/__init__.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/tools/__init__.py",
"repo_id": "langchain",
"token_count": 43
} | 469 |
kind: StressChaos
apiVersion: chaos-mesh.org/v1alpha1
metadata:
name: test-etcd-memory-stress
namespace: chaos-testing
spec:
selector:
namespaces:
- chaos-testing
labelSelectors:
app.kubernetes.io/name: etcd
app.kubernetes.io/instance: mic-memory-etcd
mode: all
stressors:
memory:... | milvus/tests/python_client/chaos/chaos_objects/memory_stress/chaos_etcd_memory_stress.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/memory_stress/chaos_etcd_memory_stress.yaml",
"repo_id": "milvus",
"token_count": 157
} | 1,885 |
from langchain_core.utils.utils import (
build_extra_kwargs,
check_package_version,
convert_to_secret_str,
get_pydantic_field_names,
guard_import,
mock_now,
raise_for_status_with_text,
xor_args,
)
__all__ = [
"xor_args",
"raise_for_status_with_text",
"mock_now",
"guard_i... | langchain/libs/langchain/langchain/utils/utils.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utils/utils.py",
"repo_id": "langchain",
"token_count": 205
} | 569 |
package indexparamcheck
import (
"fmt"
"strconv"
)
// diskannChecker checks if an diskann index can be built.
type cagraChecker struct {
floatVectorBaseChecker
}
func (c *cagraChecker) CheckTrain(params map[string]string) error {
err := c.baseChecker.CheckTrain(params)
if err != nil {
return err
}
interDegr... | milvus/pkg/util/indexparamcheck/cagra_checker.go/0 | {
"file_path": "milvus/pkg/util/indexparamcheck/cagra_checker.go",
"repo_id": "milvus",
"token_count": 493
} | 1,904 |
import { OpenAI } from "@langchain/openai";
// To enable streaming, we pass in `streaming: true` to the LLM constructor.
// Additionally, we pass in a handler for the `handleLLMNewToken` event.
const model = new OpenAI({
maxTokens: 25,
streaming: true,
});
const response = await model.call("Tell me a joke.", {
... | langchainjs/examples/src/models/llm/llm_streaming.ts/0 | {
"file_path": "langchainjs/examples/src/models/llm/llm_streaming.ts",
"repo_id": "langchainjs",
"token_count": 362
} | 843 |
""" Attention Pool 2D
Implementations of 2D spatial feature pooling using multi-head attention instead of average pool.
Based on idea in CLIP by OpenAI, licensed Apache 2.0
https://github.com/openai/CLIP/blob/3b473b0e682c091a9e53623eebc1ca1657385717/clip/model.py
Hacked together by / Copyright 2021 Ross Wightman
"""... | pytorch-image-models/timm/layers/attention_pool2d.py/0 | {
"file_path": "pytorch-image-models/timm/layers/attention_pool2d.py",
"repo_id": "pytorch-image-models",
"token_count": 2301
} | 342 |
# 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/pipelines/stable_diffusion_xl/pipeline_flax_stable_diffusion_xl.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion_xl/pipeline_flax_stable_diffusion_xl.py",
"repo_id": "diffusers",
"token_count": 5250
} | 269 |
from langchain.prompts.few_shot import __all__
EXPECTED_ALL = [
"FewShotChatMessagePromptTemplate",
"FewShotPromptTemplate",
"_FewShotPromptTemplateMixin",
]
def test_all_imports() -> None:
assert set(__all__) == set(EXPECTED_ALL)
| langchain/libs/langchain/tests/unit_tests/prompts/test_few_shot.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/prompts/test_few_shot.py",
"repo_id": "langchain",
"token_count": 97
} | 628 |
import { test } from "@jest/globals";
import type { HarmBlockThreshold, HarmCategory } from "@google/generative-ai";
import { ChatGoogleGenerativeAI } from "../chat_models.js";
test("Google AI - `temperature` must be in range [0.0,1.0]", async () => {
expect(
() =>
new ChatGoogleGenerativeAI({
temp... | langchainjs/libs/langchain-google-genai/src/tests/chat_models.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-google-genai/src/tests/chat_models.test.ts",
"repo_id": "langchainjs",
"token_count": 815
} | 1,007 |
#!/usr/bin/env bash
# Define the paths to the existing and new toml files
existing_toml="pyproject.toml"
thin_client_toml="clients/python/pyproject.toml"
# Define the path to the thin client flag script
is_thin_client_py="clients/python/is_thin_client.py"
is_thin_client_target="chromadb/is_thin_client.py"
# Define t... | chroma/clients/python/build_python_thin_client.sh/0 | {
"file_path": "chroma/clients/python/build_python_thin_client.sh",
"repo_id": "chroma",
"token_count": 445
} | 36 |
@tailwind base;
@tailwind components;
@tailwind utilities;
body {
color: #f8f8f8;
background: #131318;
}
body input,
body textarea {
color: black;
}
a:hover {
text-decoration: underline;
}
p {
margin: 8px 0;
}
code {
color: #ffa500;
}
li {
padding: 4px;
}
| weblangchain/nextjs/app/globals.css/0 | {
"file_path": "weblangchain/nextjs/app/globals.css",
"repo_id": "weblangchain",
"token_count": 123
} | 2,212 |
import json
import uuid
from typing import Optional
import requests
from huggingface_hub import Discussion, HfApi, get_repo_discussions
from .utils import cached_file, logging
logger = logging.get_logger(__name__)
def previous_pr(api: HfApi, model_id: str, pr_title: str, token: str) -> Optional["Discussion"]:
... | transformers/src/transformers/safetensors_conversion.py/0 | {
"file_path": "transformers/src/transformers/safetensors_conversion.py",
"repo_id": "transformers",
"token_count": 1821
} | 781 |
# coding=utf-8
# Copyright 2024 Mistral 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... | transformers/src/transformers/models/mistral/modeling_flax_mistral.py/0 | {
"file_path": "transformers/src/transformers/models/mistral/modeling_flax_mistral.py",
"repo_id": "transformers",
"token_count": 13485
} | 665 |
# Advanced Cuda usage
| candle/candle-book/src/inference/cuda/README.md/0 | {
"file_path": "candle/candle-book/src/inference/cuda/README.md",
"repo_id": "candle",
"token_count": 6
} | 29 |
from urllib.parse import quote
import pytest
from datasets.utils.hub import hf_hub_url
@pytest.mark.parametrize("repo_id", ["canonical_dataset_name", "org-name/dataset-name"])
@pytest.mark.parametrize("filename", ["filename.csv", "filename with blanks.csv"])
@pytest.mark.parametrize("revision", [None, "v2"])
def te... | datasets/tests/test_hub.py/0 | {
"file_path": "datasets/tests/test_hub.py",
"repo_id": "datasets",
"token_count": 219
} | 150 |
"""Convert Bark checkpoint."""
import argparse
import os
from pathlib import Path
import torch
from bark.generation import _load_model as _bark_load_model
from huggingface_hub import hf_hub_download
from transformers import EncodecConfig, EncodecModel, set_seed
from transformers.models.bark.configuration_bark import ... | transformers/src/transformers/models/bark/convert_suno_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/bark/convert_suno_to_hf.py",
"repo_id": "transformers",
"token_count": 3746
} | 644 |
#!/usr/bin/env python
# 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/LI... | transformers/examples/pytorch/image-pretraining/run_mim_no_trainer.py/0 | {
"file_path": "transformers/examples/pytorch/image-pretraining/run_mim_no_trainer.py",
"repo_id": "transformers",
"token_count": 12909
} | 586 |
#!/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_glue.py/0 | {
"file_path": "transformers/examples/pytorch/text-classification/run_glue.py",
"repo_id": "transformers",
"token_count": 11733
} | 533 |
import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
import { OpenAIEmbeddings } from "@langchain/openai";
// Save the vector store to a directory
const directory = "your/directory/here";
// Load the vector store from the same directory
const loadedVectorStore = await HNSWLib.load(directory, new OpenA... | langchainjs/examples/src/indexes/vector_stores/hnswlib_delete.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/hnswlib_delete.ts",
"repo_id": "langchainjs",
"token_count": 108
} | 785 |
# USearch
>[USearch](https://unum-cloud.github.io/usearch/) is a Smaller & Faster Single-File Vector Search Engine.
>`USearch's` base functionality is identical to `FAISS`, and the interface should look
> familiar if you have ever investigated Approximate Nearest Neighbors search.
> `USearch` and `FAISS` both employ... | langchain/docs/docs/integrations/providers/usearch.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/usearch.mdx",
"repo_id": "langchain",
"token_count": 221
} | 163 |
import asyncio
from typing import Any, Dict, List, Optional, Union
from langchain.chains.base import Chain
from langchain.chains.llm import LLMChain
from langchain.prompts.few_shot import FewShotPromptTemplate
from langchain.pydantic_v1 import BaseModel, root_validator
from langchain_core.language_models import BaseLa... | langchain/libs/experimental/langchain_experimental/tabular_synthetic_data/base.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/tabular_synthetic_data/base.py",
"repo_id": "langchain",
"token_count": 2171
} | 427 |
package common
import (
"testing"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
)
func TestCloneKeyValuePairs(t *testing.T) {
type args struct {
pairs KeyValuePairs
}
tests := []struct {
name string
args args
want KeyValuePairs
}{
{
args: args{
p... | milvus/pkg/common/key_value_pairs_test.go/0 | {
"file_path": "milvus/pkg/common/key_value_pairs_test.go",
"repo_id": "milvus",
"token_count": 360
} | 2,084 |
from langchain_community.chat_models.mlflow_ai_gateway import (
ChatMLflowAIGateway,
ChatParams,
)
__all__ = ["ChatMLflowAIGateway", "ChatParams"]
| langchain/libs/langchain/langchain/chat_models/mlflow_ai_gateway.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chat_models/mlflow_ai_gateway.py",
"repo_id": "langchain",
"token_count": 63
} | 481 |
<!--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/xlm.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/xlm.md",
"repo_id": "transformers",
"token_count": 1744
} | 492 |
from typing import Any, Callable, Iterator, List, Mapping, Optional
from langchain_core.documents import Document
from langchain_core.utils.utils import guard_import
from langchain_community.document_loaders.base import BaseLoader
RecordHandler = Callable[[Any, Optional[str]], Document]
class AirbyteCDKLoader(Base... | langchain/libs/community/langchain_community/document_loaders/airbyte.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/airbyte.py",
"repo_id": "langchain",
"token_count": 4454
} | 243 |
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