text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
from langchain_community.document_loaders.sharepoint import SharePointLoader
__all__ = ["SharePointLoader"]
| langchain/libs/langchain/langchain/document_loaders/sharepoint.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/sharepoint.py",
"repo_id": "langchain",
"token_count": 29
} | 500 |
import argparse
import json
import os
from typing import Optional
import weaviate
from langchain import load as langchain_load
from langchain.agents import AgentExecutor, Tool
from langchain.agents.openai_functions_agent.agent_token_buffer_memory import (
AgentTokenBufferMemory,
)
from langchain.agents.openai_func... | chat-langchain/_scripts/evaluate_chains_agent.py/0 | {
"file_path": "chat-langchain/_scripts/evaluate_chains_agent.py",
"repo_id": "chat-langchain",
"token_count": 3090
} | 4 |
from langchain_core._api.path import as_import_path, get_relative_path
__all__ = ["get_relative_path", "as_import_path"]
| langchain/libs/langchain/langchain/_api/path.py/0 | {
"file_path": "langchain/libs/langchain/langchain/_api/path.py",
"repo_id": "langchain",
"token_count": 42
} | 435 |
use candle::{DType, IndexOp, Result, Tensor};
use candle_nn::{layer_norm, LayerNorm, Module, VarBuilder};
#[derive(Debug)]
struct PatchEmbed {
proj: candle_nn::Conv2d,
span: tracing::Span,
}
impl PatchEmbed {
fn new(
in_chans: usize,
embed_dim: usize,
k_size: usize,
stride:... | candle/candle-transformers/src/models/segment_anything/image_encoder.rs/0 | {
"file_path": "candle/candle-transformers/src/models/segment_anything/image_encoder.rs",
"repo_id": "candle",
"token_count": 8848
} | 76 |
<jupyter_start><jupyter_text>Dynamo DB Docstore DemoThis guide shows you how to directly use our `DocumentStore` abstraction backed by DynamoDB. By putting nodes in the docstore, this allows you to define multiple indices over the same underlying docstore, instead of duplicating data across indices. If you're opening t... | llama_index/docs/examples/docstore/DynamoDBDocstoreDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/docstore/DynamoDBDocstoreDemo.ipynb",
"repo_id": "llama_index",
"token_count": 1685
} | 1,056 |
import { test, expect } from "@jest/globals";
import { Document } from "@langchain/core/documents";
import { FakeEmbeddings } from "@langchain/core/utils/testing";
import { HNSWLib } from "../hnswlib.js";
test("Test HNSWLib.fromTexts + addVectors", async () => {
const vectorStore = await HNSWLib.fromTexts(
["He... | langchainjs/libs/langchain-community/src/vectorstores/tests/hnswlib.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/tests/hnswlib.test.ts",
"repo_id": "langchainjs",
"token_count": 706
} | 1,087 |
from langchain_community.vectorstores.marqo import Marqo
__all__ = ["Marqo"]
| langchain/libs/langchain/langchain/vectorstores/marqo.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/marqo.py",
"repo_id": "langchain",
"token_count": 28
} | 576 |
// 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/datanode/metrics_info.go/0 | {
"file_path": "milvus/internal/datanode/metrics_info.go",
"repo_id": "milvus",
"token_count": 1576
} | 1,789 |
"""Init params."""
| llama_index/llama-index-legacy/tests/tools/tool_spec/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/tools/tool_spec/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,652 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/readers/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,516 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/llms/llama-index-llms-gradient/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-gradient/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,396 |
# A thin wrapper around the pulsar admin api
import requests
from chromadb.config import System
from chromadb.ingest.impl.utils import parse_topic_name
class PulsarAdmin:
"""A thin wrapper around the pulsar admin api, only used for interim development towards distributed chroma.
This functionality will be mov... | chroma/chromadb/ingest/impl/pulsar_admin.py/0 | {
"file_path": "chroma/chromadb/ingest/impl/pulsar_admin.py",
"repo_id": "chroma",
"token_count": 1301
} | 16 |
<jupyter_start><jupyter_text>Unigram tokenizationNous gardons un modèle en anglais ici car il n'existe pas de modèle en français utilisant la tokenisation Unigram. Installez les bibliothèques 🤗 *Transformers* et 🤗 *Datasets* pour exécuter ce *notebook*.<jupyter_code>!pip install datasets transformers[sentencepiece]
c... | notebooks/course/fr/chapter6/section7.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter6/section7.ipynb",
"repo_id": "notebooks",
"token_count": 1959
} | 291 |
python_sources()
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-langchain/llama_index/embeddings/langchain/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-langchain/llama_index/embeddings/langchain/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,233 |
<jupyter_start><jupyter_text>Pairwise EvaluatorThis notebook uses the `PairwiseEvaluator` module to see if an evaluation LLM would prefer one query engine over another.<jupyter_code>%pip install llama-index-llms-openai
# attach to the same event-loop
import nest_asyncio
nest_asyncio.apply()
# configuring logger to INF... | llama_index/docs/examples/evaluation/pairwise_eval.ipynb/0 | {
"file_path": "llama_index/docs/examples/evaluation/pairwise_eval.ipynb",
"repo_id": "llama_index",
"token_count": 1480
} | 1,118 |
<jupyter_start><jupyter_text>Finetuner un modèle avec l'API Trainer Installez les bibliothèques 🤗 Transformers et 🤗 Datasets pour exécuter ce notebook.<jupyter_code>!pip install datasets transformers[sentencepiece]
from datasets import load_dataset
from transformers import AutoTokenizer, DataCollatorWithPadding
raw_... | notebooks/course/fr/chapter3/section3.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter3/section3.ipynb",
"repo_id": "notebooks",
"token_count": 754
} | 285 |
/* eslint-disable @typescript-eslint/no-explicit-any */
import weaviate, { ApiKey } from "weaviate-ts-client";
import { WeaviateStore } from "@langchain/weaviate";
import { OpenAIEmbeddings } from "@langchain/openai";
export async function run() {
// Something wrong with the weaviate-ts-client types, so we need to d... | langchainjs/examples/src/indexes/vector_stores/weaviate_mmr.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/weaviate_mmr.ts",
"repo_id": "langchainjs",
"token_count": 303
} | 835 |
import urllib.request
import xml.etree.ElementTree as ET
from typing import List
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
from llama_index.readers.web.async_web.base import AsyncWebPageReader
class SitemapReader(BaseReader):
"""Asynchronous sitemap reader ... | llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/sitemap/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/sitemap/base.py",
"repo_id": "llama_index",
"token_count": 805
} | 1,570 |
# flake8: noqa
"""Tools for interacting with a SQL database."""
from typing import Any, Dict, Optional, Sequence, Type, Union
from sqlalchemy.engine import Result
from langchain_core.pydantic_v1 import BaseModel, Field, root_validator
from langchain_core.language_models import BaseLanguageModel
from langchain_core.c... | langchain/libs/community/langchain_community/tools/sql_database/tool.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/sql_database/tool.py",
"repo_id": "langchain",
"token_count": 1910
} | 316 |
# Metric Card for seqeval
## Metric description
seqeval is a Python framework for sequence labeling evaluation. seqeval can evaluate the performance of chunking tasks such as named-entity recognition, part-of-speech tagging, semantic role labeling and so on.
## How to use
Seqeval produces labelling scores along ... | datasets/metrics/seqeval/README.md/0 | {
"file_path": "datasets/metrics/seqeval/README.md",
"repo_id": "datasets",
"token_count": 2355
} | 144 |
# 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/src/peft/tuners/poly/config.py/0 | {
"file_path": "peft/src/peft/tuners/poly/config.py",
"repo_id": "peft",
"token_count": 1408
} | 326 |
poetry_requirements(
name="poetry",
module_mapping={"argilla": ["argilla_llama_index"]}
)
| llama_index/llama-index-integrations/callbacks/llama-index-callbacks-argilla/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-argilla/BUILD",
"repo_id": "llama_index",
"token_count": 41
} | 1,343 |
from langchain_community.agent_toolkits.openapi.toolkit import (
OpenAPIToolkit,
RequestsToolkit,
)
__all__ = ["RequestsToolkit", "OpenAPIToolkit"]
| langchain/libs/langchain/langchain/agents/agent_toolkits/openapi/toolkit.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/openapi/toolkit.py",
"repo_id": "langchain",
"token_count": 60
} | 461 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.youtube_transcript import YoutubeTranscriptReader
def test_class():
names_of_base_classes = [b.__name__ for b in YoutubeTranscriptReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-youtube-transcript/tests/test_readers_youtube_transcript.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-youtube-transcript/tests/test_readers_youtube_transcript.py",
"repo_id": "llama_index",
"token_count": 92
} | 1,578 |
from pathlib import Path
import pytest
from langchain_community.document_loaders.mediawikidump import MWDumpLoader
PARENT_DIR = Path(__file__).parent / "sample_documents"
@pytest.mark.requires("mwparserfromhell", "mwxml")
def test_loading_flawed_xml() -> None:
loader = MWDumpLoader((PARENT_DIR / "mwtest_curren... | langchain/libs/community/tests/unit_tests/document_loaders/test_mediawikidump.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/test_mediawikidump.py",
"repo_id": "langchain",
"token_count": 565
} | 370 |
from llama_index.program.openai.base import OpenAIPydanticProgram
__all__ = ["OpenAIPydanticProgram"]
| llama_index/llama-index-integrations/program/llama-index-program-openai/llama_index/program/openai/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/program/llama-index-program-openai/llama_index/program/openai/__init__.py",
"repo_id": "llama_index",
"token_count": 34
} | 1,360 |
from typing import Dict, Tuple
import pytest as pytest
from langchain.chains.query_constructor.ir import (
Comparator,
Comparison,
Operation,
Operator,
StructuredQuery,
)
from langchain.retrievers.self_query.timescalevector import TimescaleVectorTranslator
DEFAULT_TRANSLATOR = TimescaleVectorTran... | langchain/libs/langchain/tests/unit_tests/retrievers/self_query/test_timescalevector.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/retrievers/self_query/test_timescalevector.py",
"repo_id": "langchain",
"token_count": 1198
} | 613 |
import { OpenAI } from "@langchain/openai";
import { BufferMemory } from "langchain/memory";
import { LLMChain } from "langchain/chains";
import { PromptTemplate } from "@langchain/core/prompts";
const memory = new BufferMemory({ memoryKey: "chat_history" });
const model = new OpenAI({ temperature: 0.9 });
const promp... | langchainjs/examples/src/memory/buffer.ts/0 | {
"file_path": "langchainjs/examples/src/memory/buffer.ts",
"repo_id": "langchainjs",
"token_count": 249
} | 858 |
from llama_index.embeddings.clip.base import ClipEmbedding
__all__ = ["ClipEmbedding"]
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-clip/llama_index/embeddings/clip/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-clip/llama_index/embeddings/clip/__init__.py",
"repo_id": "llama_index",
"token_count": 32
} | 1,356 |
from rag_singlestoredb.chain import chain
__all__ = ["chain"]
| langchain/templates/rag-singlestoredb/rag_singlestoredb/__init__.py/0 | {
"file_path": "langchain/templates/rag-singlestoredb/rag_singlestoredb/__init__.py",
"repo_id": "langchain",
"token_count": 21
} | 672 |
import { loadPyodide, type PyodideInterface } from "pyodide";
import { Tool, ToolParams } from "@langchain/core/tools";
export type PythonInterpreterToolParams = Parameters<typeof loadPyodide>[0] &
ToolParams & {
instance: PyodideInterface;
};
export class PythonInterpreterTool extends Tool {
static lc_name... | langchainjs/langchain/src/experimental/tools/pyinterpreter.ts/0 | {
"file_path": "langchainjs/langchain/src/experimental/tools/pyinterpreter.ts",
"repo_id": "langchainjs",
"token_count": 2501
} | 900 |
import type { BaseLanguageModelInterface } from "@langchain/core/language_models/base";
import {
BaseChatMemory,
BaseChatMemoryInput,
} from "@langchain/community/memory/chat_memory";
import {
InputValues,
MemoryVariables,
OutputValues,
} from "@langchain/core/memory";
import { getBufferString } from "@langch... | langchainjs/langchain/src/memory/buffer_token_memory.ts/0 | {
"file_path": "langchainjs/langchain/src/memory/buffer_token_memory.ts",
"repo_id": "langchainjs",
"token_count": 1247
} | 892 |
<jupyter_start><jupyter_text>Réponses aux questions (PyTorch) Installez les bibliothèques 🤗 *Datasets* et 🤗 *Transformers* pour exécuter ce *notebook*.<jupyter_code>!pip install datasets transformers[sentencepiece]
!pip install accelerate
# Pour exécuter l'entraînement sur TPU, vous devez décommenter la ligne suivant... | notebooks/course/fr/chapter7/section7_pt.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter7/section7_pt.ipynb",
"repo_id": "notebooks",
"token_count": 7562
} | 311 |
# 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/tests/pipelines/deepfloyd_if/test_if_img2img_superresolution.py/0 | {
"file_path": "diffusers/tests/pipelines/deepfloyd_if/test_if_img2img_superresolution.py",
"repo_id": "diffusers",
"token_count": 2052
} | 262 |
from __future__ import annotations
import logging
from contextlib import contextmanager
from contextvars import ContextVar
from typing import (
Generator,
Optional,
)
from langchain_core.tracers.context import register_configure_hook
from langchain_community.callbacks.openai_info import OpenAICallbackHandler... | langchain/libs/community/langchain_community/callbacks/manager.py/0 | {
"file_path": "langchain/libs/community/langchain_community/callbacks/manager.py",
"repo_id": "langchain",
"token_count": 799
} | 236 |
# nvidia-rag-canonical
This template performs RAG using Milvus Vector Store and NVIDIA Models (Embedding and Chat).
## Environment Setup
You should export your NVIDIA API Key as an environment variable.
If you do not have an NVIDIA API Key, you can create one by following these steps:
1. Create a free account with ... | langchain/templates/nvidia-rag-canonical/README.md/0 | {
"file_path": "langchain/templates/nvidia-rag-canonical/README.md",
"repo_id": "langchain",
"token_count": 1274
} | 667 |
# Weather
>[OpenWeatherMap](https://openweathermap.org/) is an open-source weather service provider.
## Installation and Setup
```bash
pip install pyowm
```
We must set up the `OpenWeatherMap API token`.
## Document Loader
See a [usage example](/docs/integrations/document_loaders/weather).
```python
from langc... | langchain/docs/docs/integrations/providers/weather.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/weather.mdx",
"repo_id": "langchain",
"token_count": 113
} | 164 |
# Copyright 2021 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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.... | datasets/metrics/mahalanobis/mahalanobis.py/0 | {
"file_path": "datasets/metrics/mahalanobis/mahalanobis.py",
"repo_id": "datasets",
"token_count": 1363
} | 121 |
from langchain_community.llms.gigachat import GigaChat
__all__ = ["GigaChat"]
| langchain/libs/langchain/langchain/llms/gigachat.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/gigachat.py",
"repo_id": "langchain",
"token_count": 29
} | 515 |
import type { Config } from 'tailwindcss'
const config: Config = {
content: [
'./pages/**/*.{js,ts,jsx,tsx,mdx}',
'./components/**/*.{js,ts,jsx,tsx,mdx}',
'./app/**/*.{js,ts,jsx,tsx,mdx}',
],
theme: {
extend: {
backgroundImage: {
'gradient-radial': 'radial-gradient(var(--tw-gradient... | weblangchain/nextjs/tailwind.config.ts/0 | {
"file_path": "weblangchain/nextjs/tailwind.config.ts",
"repo_id": "weblangchain",
"token_count": 233
} | 2,213 |
import { PuppeteerWebBaseLoader } from "langchain/document_loaders/web/puppeteer";
const loaderWithOptions = new PuppeteerWebBaseLoader("https://langchain.com", {
launchOptions: {
headless: true,
},
gotoOptions: {
waitUntil: "domcontentloaded",
},
});
const screenshot = await loaderWithOptions.screensh... | langchainjs/examples/src/document_loaders/puppeteer_screenshot_web.ts/0 | {
"file_path": "langchainjs/examples/src/document_loaders/puppeteer_screenshot_web.ts",
"repo_id": "langchainjs",
"token_count": 110
} | 810 |
import * as fs from "fs";
import * as path from "path";
import { fileURLToPath } from "url";
import { dirname } from "path";
import { OpenAIFiles } from "../index.js";
/**
* Otherwise we got the error __dirname doesn't exist
*/
const __filename = fileURLToPath(import.meta.url);
const __dirname = dirname(__filename);... | langchainjs/langchain/src/experimental/openai_files/tests/openai_file.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/experimental/openai_files/tests/openai_file.int.test.ts",
"repo_id": "langchainjs",
"token_count": 997
} | 926 |
package grpccoordinator
import (
"testing"
"github.com/chroma/chroma-coordinator/internal/model"
"github.com/chroma/chroma-coordinator/internal/proto/coordinatorpb"
"github.com/chroma/chroma-coordinator/internal/types"
"github.com/stretchr/testify/assert"
)
func TestConvertCollectionMetadataToModel(t *testing.T... | chroma/go/coordinator/internal/grpccoordinator/proto_model_convert_test.go/0 | {
"file_path": "chroma/go/coordinator/internal/grpccoordinator/proto_model_convert_test.go",
"repo_id": "chroma",
"token_count": 2743
} | 48 |
services:
db:
image: ankane/pgvector
ports:
- 5432:5432
volumes:
- ./data:/var/lib/postgresql/data
environment:
- POSTGRES_PASSWORD=
- POSTGRES_USER=
- POSTGRES_DB=
| langchainjs/examples/src/indexes/vector_stores/prisma_vectorstore/docker-compose.example.yml/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/prisma_vectorstore/docker-compose.example.yml",
"repo_id": "langchainjs",
"token_count": 108
} | 788 |
# coding=utf-8
# Copyright 2024 Stability 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... | transformers/src/transformers/models/stablelm/configuration_stablelm.py/0 | {
"file_path": "transformers/src/transformers/models/stablelm/configuration_stablelm.py",
"repo_id": "transformers",
"token_count": 3547
} | 671 |
import { z } from "zod";
import { GmailBaseTool, GmailBaseToolParams } from "./base.js";
import { GET_MESSAGE_DESCRIPTION } from "./descriptions.js";
export class GmailSendMessage extends GmailBaseTool {
name = "gmail_send_message";
schema = z.object({
message: z.string(),
to: z.array(z.string()),
sub... | langchainjs/libs/langchain-community/src/tools/gmail/send_message.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/tools/gmail/send_message.ts",
"repo_id": "langchainjs",
"token_count": 820
} | 958 |
"""KonkoAI chat wrapper."""
from __future__ import annotations
import logging
import os
import warnings
from typing import (
Any,
Dict,
Iterator,
List,
Optional,
Set,
Tuple,
Union,
cast,
)
import requests
from langchain_core.callbacks import (
CallbackManagerForLLMRun,
)
from l... | langchain/libs/community/langchain_community/chat_models/konko.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_models/konko.py",
"repo_id": "langchain",
"token_count": 4448
} | 221 |
from __future__ import annotations
import functools
import uuid
import warnings
from itertools import islice
from operator import itemgetter
from typing import (
TYPE_CHECKING,
Any,
AsyncGenerator,
Callable,
Dict,
Generator,
Iterable,
List,
Optional,
Sequence,
Tuple,
Typ... | langchain/libs/community/langchain_community/vectorstores/qdrant.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/qdrant.py",
"repo_id": "langchain",
"token_count": 42944
} | 328 |
from llama_index.core.vector_stores.types import VectorStore
from llama_index.vector_stores.myscale import MyScaleVectorStore
def test_class():
names_of_base_classes = [b.__name__ for b in MyScaleVectorStore.__mro__]
assert VectorStore.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-myscale/tests/test_vector_stores_myscale.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-myscale/tests/test_vector_stores_myscale.py",
"repo_id": "llama_index",
"token_count": 93
} | 1,565 |
<!--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/tasks/question_answering.md/0 | {
"file_path": "transformers/docs/source/es/tasks/question_answering.md",
"repo_id": "transformers",
"token_count": 3895
} | 507 |
from langchain_community.chat_models.bedrock import BedrockChat, ChatPromptAdapter
__all__ = ["ChatPromptAdapter", "BedrockChat"]
| langchain/libs/langchain/langchain/chat_models/bedrock.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chat_models/bedrock.py",
"repo_id": "langchain",
"token_count": 39
} | 494 |
from llama_index.readers.spotify.base import SpotifyReader
__all__ = ["SpotifyReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-spotify/llama_index/readers/spotify/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-spotify/llama_index/readers/spotify/__init__.py",
"repo_id": "llama_index",
"token_count": 28
} | 1,459 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/src/segcore/Record.h/0 | {
"file_path": "milvus/internal/core/src/segcore/Record.h",
"repo_id": "milvus",
"token_count": 371
} | 1,764 |
python_tests()
| llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-dynamodb/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-dynamodb/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,459 |
<jupyter_start><jupyter_text>GPT Builder DemoInspired by GPTs interface, presented at OpenAI Dev Day 2023. Construct an agent with natural language.Here you can build your own agent...with another agent!<jupyter_code>%pip install llama-index-agent-openai
%pip install llama-index-embeddings-openai
%pip install llama-ind... | llama_index/docs/examples/agent/agent_builder.ipynb/0 | {
"file_path": "llama_index/docs/examples/agent/agent_builder.ipynb",
"repo_id": "llama_index",
"token_count": 2385
} | 1,067 |
# 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/src/peft/peft_model.py/0 | {
"file_path": "peft/src/peft/peft_model.py",
"repo_id": "peft",
"token_count": 40340
} | 322 |
import inspect
import os
import random
import re
from dataclasses import dataclass
from typing import Callable, Dict, List, Optional, Union
import torch
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from diffusers import DiffusionPipeline
from diffusers.configuration_utils import FrozenDic... | diffusers/examples/community/wildcard_stable_diffusion.py/0 | {
"file_path": "diffusers/examples/community/wildcard_stable_diffusion.py",
"repo_id": "diffusers",
"token_count": 8987
} | 212 |
// 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/util/importutil/import_options_test.go/0 | {
"file_path": "milvus/internal/util/importutil/import_options_test.go",
"repo_id": "milvus",
"token_count": 1399
} | 1,796 |
export {
mapStoredMessagesToChatMessages,
mapChatMessagesToStoredMessages,
} from "@langchain/core/messages";
| langchainjs/langchain/src/stores/message/utils.ts/0 | {
"file_path": "langchainjs/langchain/src/stores/message/utils.ts",
"repo_id": "langchainjs",
"token_count": 39
} | 1,020 |
from __future__ import annotations
import pickle
from pathlib import Path
from typing import Any, Dict, Iterable, List, Optional
from langchain_core.callbacks import CallbackManagerForRetrieverRun
from langchain_core.documents import Document
from langchain_core.retrievers import BaseRetriever
class TFIDFRetriever(... | langchain/libs/community/langchain_community/retrievers/tfidf.py/0 | {
"file_path": "langchain/libs/community/langchain_community/retrievers/tfidf.py",
"repo_id": "langchain",
"token_count": 1866
} | 288 |
# [The Hugging Face Deep Reinforcement Learning Course 🤗 (v2.0)](https://huggingface.co/deep-rl-course/unit0/introduction)
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit0/thumbnail.jpg" alt="Thumbnail"/>
If you like the course, don't hesitate to **⭐ star this ... | deep-rl-class/README.md/0 | {
"file_path": "deep-rl-class/README.md",
"repo_id": "deep-rl-class",
"token_count": 388
} | 158 |
import { Document } from "@langchain/core/documents";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
import { BaseDocumentLoader } from "../base.js";
/**
* Interface representing a Figma file. It includes properties for the
* file name, role, last modified date, editor type, thumbnail URL,
* ve... | langchainjs/langchain/src/document_loaders/web/figma.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/web/figma.ts",
"repo_id": "langchainjs",
"token_count": 1169
} | 884 |
<!--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/sam.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/sam.md",
"repo_id": "transformers",
"token_count": 1871
} | 486 |
<jupyter_start><jupyter_text>Twitter (via Apify)This notebook shows how to load chat messages from Twitter to fine-tune on. We do this by utilizing Apify. First, use Apify to export tweets. An example<jupyter_code>import json
from langchain.adapters.openai import convert_message_to_dict
from langchain.schema import AI... | langchain/docs/docs/integrations/chat_loaders/twitter.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/chat_loaders/twitter.ipynb",
"repo_id": "langchain",
"token_count": 306
} | 100 |
package tasks
const (
schedulePolicyNameFIFO = "fifo"
schedulePolicyNameUserTaskPolling = "user-task-polling"
)
// NewScheduler create a scheduler by policyName.
func NewScheduler(policyName string) Scheduler {
switch policyName {
case "":
fallthrough
case schedulePolicyNameFIFO:
return newSchedul... | milvus/internal/querynodev2/tasks/tasks.go/0 | {
"file_path": "milvus/internal/querynodev2/tasks/tasks.go",
"repo_id": "milvus",
"token_count": 773
} | 1,998 |
# LlamaIndex Vector_Stores Integration: Dashvector
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-dashvector/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-dashvector/README.md",
"repo_id": "llama_index",
"token_count": 13
} | 1,521 |
# these stubs are just for backwards compatibility
from langchain_core.utils.function_calling import (
FunctionDescription,
ToolDescription,
convert_pydantic_to_openai_function,
convert_pydantic_to_openai_tool,
)
__all__ = [
"FunctionDescription",
"ToolDescription",
"convert_pydantic_to_op... | langchain/libs/community/langchain_community/utils/openai_functions.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utils/openai_functions.py",
"repo_id": "langchain",
"token_count": 138
} | 305 |
import { DataSource } from "typeorm";
import { SqlDatabase } from "langchain/sql_db";
import { ChatOpenAI } from "@langchain/openai";
import {
RunnablePassthrough,
RunnableSequence,
} from "@langchain/core/runnables";
import { PromptTemplate } from "@langchain/core/prompts";
import { StringOutputParser } from "@lan... | langchainjs/examples/src/guides/expression_language/cookbook_sql_db.ts/0 | {
"file_path": "langchainjs/examples/src/guides/expression_language/cookbook_sql_db.ts",
"repo_id": "langchainjs",
"token_count": 721
} | 794 |
.PHONY: deps_table_update modified_only_fixup extra_style_checks quality style fixup fix-copies test test-examples
# make sure to test the local checkout in scripts and not the pre-installed one (don't use quotes!)
export PYTHONPATH = src
check_dirs := examples scripts src tests utils benchmarks
modified_only_fixup:... | diffusers/Makefile/0 | {
"file_path": "diffusers/Makefile",
"repo_id": "diffusers",
"token_count": 889
} | 170 |
---
sidebar_class_name: hidden
---
import CodeBlock from "@theme/CodeBlock";
import TimeoutExample from "@examples/agents/agent_timeout.ts";
# Timeouts for agents
By default, LangChain will wait indefinitely for a response from the model provider. If you want to add a timeout to an agent, you can pass a `timeout` op... | langchainjs/docs/core_docs/docs/modules/agents/how_to/timeouts.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/agents/how_to/timeouts.mdx",
"repo_id": "langchainjs",
"token_count": 179
} | 749 |
version: "3"
services:
redis:
container_name: opengpts-redis
image: redis/redis-stack-server:latest
ports:
- "6379:6379"
volumes:
- ./redis-volume:/data
backend:
container_name: opengpts-backend
image: docker.io/langchain/open-gpts:latest
ports:
- "8100:8000" # Backend... | opengpts/docker-compose-prod.yml/0 | {
"file_path": "opengpts/docker-compose-prod.yml",
"repo_id": "opengpts",
"token_count": 227
} | 1,996 |
// 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/util/importutilv2/binlog/util.go/0 | {
"file_path": "milvus/internal/util/importutilv2/binlog/util.go",
"repo_id": "milvus",
"token_count": 1444
} | 1,901 |
"""Util that Searches calendar events in Office 365.
Free, but setup is required. See link below.
https://learn.microsoft.com/en-us/graph/auth/
"""
from datetime import datetime as dt
from typing import Any, Dict, List, Optional, Type
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core... | langchain/libs/community/langchain_community/tools/office365/events_search.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/office365/events_search.py",
"repo_id": "langchain",
"token_count": 1964
} | 314 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/tools/llama-index-tools-neo4j/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-neo4j/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,574 |
import os
from pathlib import Path
from langchain.chains.openai_functions.openapi import get_openapi_chain
def test_openai_opeanapi() -> None:
chain = get_openapi_chain(
"https://www.klarna.com/us/shopping/public/openai/v0/api-docs/"
)
output = chain.run("What are some options for a men's large b... | langchain/libs/langchain/tests/integration_tests/chains/openai_functions/test_openapi.py/0 | {
"file_path": "langchain/libs/langchain/tests/integration_tests/chains/openai_functions/test_openapi.py",
"repo_id": "langchain",
"token_count": 321
} | 637 |
[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 = ["SlackToolSpec"]
contains_example = false
import_path = "llama_index.tools.slack"
[tool.m... | llama_index/llama-index-integrations/tools/llama-index-tools-slack/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-slack/pyproject.toml",
"repo_id": "llama_index",
"token_count": 662
} | 1,455 |
export { type DocumentInput, Document } from "@langchain/core/documents";
| langchainjs/langchain/src/document.ts/0 | {
"file_path": "langchainjs/langchain/src/document.ts",
"repo_id": "langchainjs",
"token_count": 19
} | 937 |
# How Huggy works [[how-huggy-works]]
Huggy is a Deep Reinforcement Learning environment made by Hugging Face and based on [Puppo the Corgi, a project by the Unity MLAgents team](https://blog.unity.com/technology/puppo-the-corgi-cuteness-overload-with-the-unity-ml-agents-toolkit).
This environment was created using th... | deep-rl-class/units/en/unitbonus1/how-huggy-works.mdx/0 | {
"file_path": "deep-rl-class/units/en/unitbonus1/how-huggy-works.mdx",
"repo_id": "deep-rl-class",
"token_count": 1245
} | 170 |
<!--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/tasks/asr.md/0 | {
"file_path": "transformers/docs/source/en/tasks/asr.md",
"repo_id": "transformers",
"token_count": 5105
} | 528 |
import '@/styles/globals.css'
import type { AppProps } from 'next/app'
export default function App({ Component, pageProps }: AppProps) {
return <Component {...pageProps} />
}
| langchainjs/environment_tests/test-exports-vercel/src/pages/_app.tsx/0 | {
"file_path": "langchainjs/environment_tests/test-exports-vercel/src/pages/_app.tsx",
"repo_id": "langchainjs",
"token_count": 60
} | 806 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
# Feel free to un-skip examples, and experimental, you will just need to
# work through many typos (--write-changes and --interactive will help)
skip = "*.csv,*.html,*.json,*.... | llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-presidio/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-presidio/pyproject.toml",
"repo_id": "llama_index",
"token_count": 714
} | 1,388 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2024 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... | diffusers/examples/research_projects/consistency_training/train_cm_ct_unconditional.py/0 | {
"file_path": "diffusers/examples/research_projects/consistency_training/train_cm_ct_unconditional.py",
"repo_id": "diffusers",
"token_count": 26288
} | 210 |
package coordinator
import (
"context"
"github.com/chroma/chroma-coordinator/internal/common"
"github.com/chroma/chroma-coordinator/internal/metastore"
"github.com/chroma/chroma-coordinator/internal/metastore/db/dbmodel"
"github.com/chroma/chroma-coordinator/internal/model"
"github.com/chroma/chroma-coordinator... | chroma/go/coordinator/internal/metastore/coordinator/table_catalog.go/0 | {
"file_path": "chroma/go/coordinator/internal/metastore/coordinator/table_catalog.go",
"repo_id": "chroma",
"token_count": 6871
} | 47 |
# 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/tests/models/vits/test_modeling_vits.py/0 | {
"file_path": "transformers/tests/models/vits/test_modeling_vits.py",
"repo_id": "transformers",
"token_count": 8429
} | 822 |
# The Deep Q-Learning Algorithm [[deep-q-algorithm]]
We learned that Deep Q-Learning **uses a deep neural network to approximate the different Q-values for each possible action at a state** (value-function estimation).
The difference is that, during the training phase, instead of updating the Q-value of a state-actio... | deep-rl-class/units/en/unit3/deep-q-algorithm.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit3/deep-q-algorithm.mdx",
"repo_id": "deep-rl-class",
"token_count": 2281
} | 178 |
import argparse
import torch
import yaml
from diffusers import DDIMScheduler, LDMPipeline, UNetLDMModel, VQModel
def convert_ldm_original(checkpoint_path, config_path, output_path):
config = yaml.safe_load(config_path)
state_dict = torch.load(checkpoint_path, map_location="cpu")["model"]
keys = list(sta... | diffusers/scripts/conversion_ldm_uncond.py/0 | {
"file_path": "diffusers/scripts/conversion_ldm_uncond.py",
"repo_id": "diffusers",
"token_count": 793
} | 224 |
import { ChatOpenAI } from "@langchain/openai";
import { initializeAgentExecutorWithOptions } from "langchain/agents";
import { DiscordSendMessagesTool } from "@langchain/community/tools/discord";
import { DadJokeAPI } from "@langchain/community/tools/dadjokeapi";
const model = new ChatOpenAI({
temperature: 0,
});
... | langchainjs/examples/src/agents/discord.ts/0 | {
"file_path": "langchainjs/examples/src/agents/discord.ts",
"repo_id": "langchainjs",
"token_count": 210
} | 753 |
from concurrent.futures import ThreadPoolExecutor
from unittest.mock import MagicMock
from langsmith import run_trees
from langsmith.client import Client
def test_run_tree_accepts_tpe() -> None:
mock_client = MagicMock(spec=Client)
run_trees.RunTree(
name="My Chat Bot",
inputs={"text": "Summa... | langsmith-sdk/python/tests/unit_tests/test_run_trees.py/0 | {
"file_path": "langsmith-sdk/python/tests/unit_tests/test_run_trees.py",
"repo_id": "langsmith-sdk",
"token_count": 161
} | 1,028 |
"""Map-reduce chain.
Splits up a document, sends the smaller parts to the LLM with one prompt,
then combines the results with another one.
"""
from __future__ import annotations
from typing import Any, Dict, List, Mapping, Optional
from langchain_core.callbacks import CallbackManagerForChainRun, Callbacks
from langc... | langchain/libs/langchain/langchain/chains/mapreduce.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/mapreduce.py",
"repo_id": "langchain",
"token_count": 1511
} | 484 |
<!--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/ja/model_doc/deta.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/deta.md",
"repo_id": "transformers",
"token_count": 1894
} | 484 |
import { OpenAI } from "@langchain/openai";
import { loadSummarizationChain, AnalyzeDocumentChain } from "langchain/chains";
import * as fs from "fs";
// In this example, we use the `AnalyzeDocumentChain` to summarize a large text document.
const text = fs.readFileSync("state_of_the_union.txt", "utf8");
const model = ... | langchainjs/examples/src/chains/analyze_document_chain_summarize.ts/0 | {
"file_path": "langchainjs/examples/src/chains/analyze_document_chain_summarize.ts",
"repo_id": "langchainjs",
"token_count": 314
} | 798 |
import unittest
from typing import Any
from unittest.mock import patch
import pytest
import requests_mock
from requests_mock.mocker import Mocker
from langchain_community.document_loaders.lakefs import LakeFSLoader
@pytest.fixture
def mock_lakefs_client() -> Any:
with patch(
"langchain_community.documen... | langchain/libs/community/tests/integration_tests/document_loaders/test_lakefs.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_lakefs.py",
"repo_id": "langchain",
"token_count": 1089
} | 342 |
<!--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/ko/autoclass_tutorial.md/0 | {
"file_path": "transformers/docs/source/ko/autoclass_tutorial.md",
"repo_id": "transformers",
"token_count": 5222
} | 551 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 60,
"prefill": [
{
"id": 589,
"logprob": null,
"text": "def"
},
{
"id": 1459,
"logprob": -5.6328125,
"text": " print"
},
{
"id"... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_starcoder/test_flash_starcoder_default_params.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_starcoder/test_flash_starcoder_default_params.json",
"repo_id": "text-generation-inference",
"token_count": 4734
} | 402 |
from langchain_community.chat_models.minimax import (
MiniMaxChat,
)
__all__ = ["MiniMaxChat"]
| langchain/libs/langchain/langchain/chat_models/minimax.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chat_models/minimax.py",
"repo_id": "langchain",
"token_count": 37
} | 496 |
# coding=utf-8
# Copyright 2023 The BigCode team and 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 requi... | transformers/src/transformers/models/gpt_bigcode/configuration_gpt_bigcode.py/0 | {
"file_path": "transformers/src/transformers/models/gpt_bigcode/configuration_gpt_bigcode.py",
"repo_id": "transformers",
"token_count": 2533
} | 678 |
<jupyter_start><jupyter_text>Derrière le pipeline (TensorFlow) Installez la bibliothèque 🤗 *Transformers* pour exécuter ce *notebook*.<jupyter_code>!pip install transformers[sentencepiece]
from transformers import pipeline
classifier = pipeline("sentiment-analysis", model="tblard/tf-allocine")
classifier(
["J'ai ... | notebooks/course/fr/chapter2/section2_tf.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter2/section2_tf.ipynb",
"repo_id": "notebooks",
"token_count": 473
} | 292 |
import { TextServiceClient } from "@google-ai/generativelanguage";
import { GoogleAuth } from "google-auth-library";
import { Embeddings, EmbeddingsParams } from "@langchain/core/embeddings";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
/**
* Interface that extends EmbeddingsParams and defines ... | langchainjs/libs/langchain-community/src/embeddings/googlepalm.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/embeddings/googlepalm.ts",
"repo_id": "langchainjs",
"token_count": 1084
} | 966 |
"""PubMed API toolkit."""
| langchain/libs/langchain/langchain/tools/pubmed/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/pubmed/__init__.py",
"repo_id": "langchain",
"token_count": 9
} | 587 |
from __future__ import annotations
import json
from typing import Any, Dict, List, Optional
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import BasePromptTemplate
from langchain_core.pydantic_v1 import Field
f... | langchain/libs/langchain/langchain/chains/qa_generation/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/qa_generation/base.py",
"repo_id": "langchain",
"token_count": 968
} | 472 |
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