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# MediaWikiDump
>[MediaWiki XML Dumps](https://www.mediawiki.org/wiki/Manual:Importing_XML_dumps) contain the content of a wiki
> (wiki pages with all their revisions), without the site-related data. A XML dump does not create a full backup
> of the wiki database, the dump does not contain user accounts, images, edi... | langchain/docs/docs/integrations/providers/mediawikidump.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/mediawikidump.mdx",
"repo_id": "langchain",
"token_count": 303
} | 140 |
# Stack Exchange
>[Stack Exchange](https://en.wikipedia.org/wiki/Stack_Exchange) is a network of
question-and-answer (Q&A) websites on topics in diverse fields, each site covering
a specific topic, where questions, answers, and users are subject to a reputation award process.
This page covers how to use the `Stack ... | langchain/docs/docs/integrations/providers/stackexchange.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/stackexchange.mdx",
"repo_id": "langchain",
"token_count": 286
} | 157 |
// 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/unittest/test_segcore.cpp/0 | {
"file_path": "milvus/internal/core/unittest/test_segcore.cpp",
"repo_id": "milvus",
"token_count": 2673
} | 1,785 |
<jupyter_start><jupyter_text>Causal program-aided language (CPAL) chainThe CPAL chain builds on the recent PAL to stop LLM hallucination. The problem with the PAL approach is that it hallucinates on a math problem with a nested chain of dependence. The innovation here is that this new CPAL approach includes causal stru... | langchain/cookbook/causal_program_aided_language_model.ipynb/0 | {
"file_path": "langchain/cookbook/causal_program_aided_language_model.ipynb",
"repo_id": "langchain",
"token_count": 2146
} | 74 |
import { PlusIcon } from "@heroicons/react/24/outline";
import { ChatListProps } from "../hooks/useChatList";
import { ConfigListProps } from "../hooks/useConfigList";
import { cn } from "../utils/cn";
export function ChatList(props: {
chats: ChatListProps["chats"];
currentChat: ChatListProps["currentChat"];
en... | opengpts/frontend/src/components/ChatList.tsx/0 | {
"file_path": "opengpts/frontend/src/components/ChatList.tsx",
"repo_id": "opengpts",
"token_count": 1831
} | 1,915 |
import { MemoryVectorStore } from "langchain/vectorstores/memory";
import { OpenAIEmbeddings } from "@langchain/openai";
import { ScoreThresholdRetriever } from "langchain/retrievers/score_threshold";
const vectorStore = await MemoryVectorStore.fromTexts(
[
"Buildings are made out of brick",
"Buildings are m... | langchainjs/examples/src/retrievers/similarity_score_threshold.ts/0 | {
"file_path": "langchainjs/examples/src/retrievers/similarity_score_threshold.ts",
"repo_id": "langchainjs",
"token_count": 587
} | 841 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/storage/index_store/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/storage/index_store/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,716 |
// 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/pkg/eventlog/logger_test.go/0 | {
"file_path": "milvus/pkg/eventlog/logger_test.go",
"repo_id": "milvus",
"token_count": 845
} | 1,808 |
import copy
import logging
import time
from operator import methodcaller
from yaml import full_load, dump
import threading
from milvus_benchmark import utils
from milvus_benchmark.runners import utils as runner_utils
from milvus_benchmark.chaos import utils as chaos_utils
from milvus_benchmark.runners.base import BaseR... | milvus/tests/benchmark/milvus_benchmark/runners/chaos.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/runners/chaos.py",
"repo_id": "milvus",
"token_count": 2250
} | 2,079 |
from __future__ import annotations
import logging
import uuid
from typing import Any, Callable, Dict, Iterable, List, Optional, Sequence, Tuple, Type
from sqlalchemy import REAL, Column, String, Table, create_engine, insert, text
from sqlalchemy.dialects.postgresql import ARRAY, JSON, TEXT
try:
from sqlalchemy.o... | langchain/libs/community/langchain_community/vectorstores/analyticdb.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/analyticdb.py",
"repo_id": "langchain",
"token_count": 7350
} | 322 |
# Hybrid Search in Weaviate
This template shows you how to use the hybrid search feature in Weaviate. Hybrid search combines multiple search algorithms to improve the accuracy and relevance of search results.
Weaviate uses both sparse and dense vectors to represent the meaning and context of search queries and docume... | langchain/templates/hybrid-search-weaviate/README.md/0 | {
"file_path": "langchain/templates/hybrid-search-weaviate/README.md",
"repo_id": "langchain",
"token_count": 721
} | 663 |
export * from "./deep-compare-strict.js";
export * from "./dereference.js";
export * from "./format.js";
export * from "./pointer.js";
export * from "./types.js";
export * from "./ucs2-length.js";
export * from "./validate.js";
export * from "./validator.js";
| langchainjs/langchain-core/src/utils/@cfworker/json-schema/src/index.ts/0 | {
"file_path": "langchainjs/langchain-core/src/utils/@cfworker/json-schema/src/index.ts",
"repo_id": "langchainjs",
"token_count": 94
} | 843 |
"""Fetch information about any current git repo."""
import functools
import logging
import subprocess
from typing import List, Optional, TypeVar
from typing_extensions import TypedDict
logger = logging.getLogger(__name__)
T = TypeVar("T")
def exec_git(command: List[str]) -> Optional[str]:
try:
return ... | langsmith-sdk/python/langsmith/env/_git.py/0 | {
"file_path": "langsmith-sdk/python/langsmith/env/_git.py",
"repo_id": "langsmith-sdk",
"token_count": 651
} | 1,105 |
// 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/query/visitors/ExtractInfoExprVisitor.cpp/0 | {
"file_path": "milvus/internal/core/src/query/visitors/ExtractInfoExprVisitor.cpp",
"repo_id": "milvus",
"token_count": 811
} | 1,932 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-packs/llama-index-packs-tables/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-tables/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,734 |
import { ZepVectorStore } from "@langchain/community/vectorstores/zep";
import { FakeEmbeddings } from "@langchain/core/utils/testing";
import { randomUUID } from "crypto";
import { Document } from "@langchain/core/documents";
const docs = [
new Document({
metadata: { album: "Led Zeppelin IV", year: 1971 },
... | langchainjs/examples/src/indexes/vector_stores/zep/zep_with_metadata.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/zep/zep_with_metadata.ts",
"repo_id": "langchainjs",
"token_count": 1334
} | 792 |
from langchain_community.document_loaders.figma import FigmaFileLoader
ACCESS_TOKEN = ""
IDS = ""
KEY = ""
def test_figma_file_loader() -> None:
"""Test Figma file loader."""
loader = FigmaFileLoader(ACCESS_TOKEN, IDS, KEY)
docs = loader.load()
assert len(docs) == 1
| langchain/libs/community/tests/integration_tests/document_loaders/test_figma.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_figma.py",
"repo_id": "langchain",
"token_count": 106
} | 341 |
from langchain_community.llms.cohere import (
Cohere,
)
__all__ = [
"Cohere",
]
| langchain/libs/langchain/langchain/llms/cohere.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/cohere.py",
"repo_id": "langchain",
"token_count": 40
} | 537 |
from langchain_community.embeddings.minimax import (
MiniMaxEmbeddings,
)
__all__ = ["MiniMaxEmbeddings"]
| langchain/libs/langchain/langchain/embeddings/minimax.py/0 | {
"file_path": "langchain/libs/langchain/langchain/embeddings/minimax.py",
"repo_id": "langchain",
"token_count": 41
} | 499 |
import asyncio
import json
from typing import Any, Dict, List, Optional
import yaml
from llama_index.core import Document, ServiceContext, VectorStoreIndex
from llama_index.core.async_utils import run_jobs
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.base.response.schema import... | llama_index/llama-index-packs/llama-index-packs-dense-x-retrieval/llama_index/packs/dense_x_retrieval/base.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-dense-x-retrieval/llama_index/packs/dense_x_retrieval/base.py",
"repo_id": "llama_index",
"token_count": 2926
} | 1,651 |
import { CohereEmbeddings } from "@langchain/cohere";
import { VercelPostgres } from "@langchain/community/vectorstores/vercel_postgres";
// Config is only required if you want to override default values.
const config = {
// tableName: "testvercelvectorstorelangchain",
// postgresConnectionOptions: {
// connec... | langchainjs/examples/src/indexes/vector_stores/vercel_postgres/example.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/vercel_postgres/example.ts",
"repo_id": "langchainjs",
"token_count": 1036
} | 792 |
from abc import ABC, abstractmethod
from typing import List
class CodeSegmenter(ABC):
"""Abstract class for the code segmenter."""
def __init__(self, code: str):
self.code = code
def is_valid(self) -> bool:
return True
@abstractmethod
def simplify_code(self) -> str:
rais... | langchain/libs/community/langchain_community/document_loaders/parsers/language/code_segmenter.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/parsers/language/code_segmenter.py",
"repo_id": "langchain",
"token_count": 183
} | 244 |
# Tests the CustomResourceMemberlist provider
import threading
from chromadb.test.conftest import skip_if_not_cluster
from kubernetes import client, config
from chromadb.config import System, Settings
from chromadb.segment.distributed import Memberlist
from chromadb.segment.impl.distributed.segment_directory import (
... | chroma/chromadb/test/segment/distributed/test_memberlist_provider.py/0 | {
"file_path": "chroma/chromadb/test/segment/distributed/test_memberlist_provider.py",
"repo_id": "chroma",
"token_count": 1192
} | 23 |
"""Steam Toolkit."""
from typing import List
from langchain_community.agent_toolkits.base import BaseToolkit
from langchain_community.tools import BaseTool
from langchain_community.tools.steam.prompt import (
STEAM_GET_GAMES_DETAILS,
STEAM_GET_RECOMMENDED_GAMES,
)
from langchain_community.tools.steam.tool impo... | langchain/libs/community/langchain_community/agent_toolkits/steam/toolkit.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/steam/toolkit.py",
"repo_id": "langchain",
"token_count": 677
} | 217 |
package datacoord
import (
"testing"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus/internal/util/sessionutil"
)
func Test_IndexEngineVersionManager_GetMergedIndexVersion(t *testing.T) {
m := newIndexEngineVersionManager()
// empty
assert.Zero(t, m.GetCurrentIndexEngineVersion())
// star... | milvus/internal/datacoord/index_engine_version_manager_test.go/0 | {
"file_path": "milvus/internal/datacoord/index_engine_version_manager_test.go",
"repo_id": "milvus",
"token_count": 639
} | 1,962 |
from typing import Any, Optional, Sequence
from langchain_core.documents import BaseDocumentTransformer, Document
from langchain_community.utilities.vertexai import get_client_info
class GoogleTranslateTransformer(BaseDocumentTransformer):
"""Translate text documents using Google Cloud Translation."""
def ... | langchain/libs/community/langchain_community/document_transformers/google_translate.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_transformers/google_translate.py",
"repo_id": "langchain",
"token_count": 1857
} | 264 |
import { z } from "zod";
import { OpenAI } from "@langchain/openai";
import { RunnableSequence } from "@langchain/core/runnables";
import { StructuredOutputParser } from "langchain/output_parsers";
import { PromptTemplate } from "@langchain/core/prompts";
// We can use zod to define a schema for the output using the `... | langchainjs/examples/src/prompts/structured_parser_zod_sequence.ts/0 | {
"file_path": "langchainjs/examples/src/prompts/structured_parser_zod_sequence.ts",
"repo_id": "langchainjs",
"token_count": 757
} | 881 |
<jupyter_start><jupyter_code># %pip install-r requirements.txt<jupyter_output><empty_output><jupyter_text>**Note**: This demo is adapted from the LXMERT Demo present here: https://github.com/huggingface/transformers/tree/main/examples/research_projects/lxmert<jupyter_code>from IPython.display import Image, display
impo... | transformers/examples/research_projects/visual_bert/demo.ipynb/0 | {
"file_path": "transformers/examples/research_projects/visual_bert/demo.ipynb",
"repo_id": "transformers",
"token_count": 1630
} | 539 |
import type { BackendModel } from "$lib/server/models";
export type Model = Pick<
BackendModel,
| "id"
| "name"
| "displayName"
| "websiteUrl"
| "datasetName"
| "promptExamples"
| "parameters"
| "description"
| "modelUrl"
| "datasetUrl"
| "preprompt"
| "multimodal"
| "unlisted"
>;
| chat-ui/src/lib/types/Model.ts/0 | {
"file_path": "chat-ui/src/lib/types/Model.ts",
"repo_id": "chat-ui",
"token_count": 130
} | 95 |
# Glossary [[glossary]]
This is a community-created glossary. Contributions are welcomed!
### Strategies to find the optimal policy
- **Policy-based methods.** The policy is usually trained with a neural network to select what action to take given a state. In this case it is the neural network which outputs the act... | deep-rl-class/units/en/unit2/glossary.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit2/glossary.mdx",
"repo_id": "deep-rl-class",
"token_count": 760
} | 159 |
import math
from dataclasses import dataclass
from typing import List, Optional, Tuple, Union
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .scheduling_utils import SchedulerMixin
def gumbel_noise(t, generator=None):
device = generator.device ... | diffusers/src/diffusers/schedulers/scheduling_amused.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_amused.py",
"repo_id": "diffusers",
"token_count": 2780
} | 274 |
"""Test USearch functionality."""
import pytest
from langchain_core.documents import Document
from langchain_community.vectorstores.usearch import USearch
from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings
def test_usearch_from_texts() -> None:
"""Test end to end construction and sea... | langchain/libs/community/tests/integration_tests/vectorstores/test_usearch.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_usearch.py",
"repo_id": "langchain",
"token_count": 784
} | 379 |
import inspect
from typing import Callable, List, Optional, Union
import numpy as np
import PIL.Image
import torch
from transformers import CLIPImageProcessor, CLIPTokenizer
from ....configuration_utils import FrozenDict
from ....schedulers import DDIMScheduler, LMSDiscreteScheduler, PNDMScheduler
from ....utils impo... | diffusers/src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_onnx_stable_diffusion_inpaint_legacy.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_onnx_stable_diffusion_inpaint_legacy.py",
"repo_id": "diffusers",
"token_count": 12042
} | 254 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/layoutlmv2/tokenization_layoutlmv2_fast.py/0 | {
"file_path": "transformers/src/transformers/models/layoutlmv2/tokenization_layoutlmv2_fast.py",
"repo_id": "transformers",
"token_count": 17706
} | 687 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/trocr/convert_trocr_unilm_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/trocr/convert_trocr_unilm_to_pytorch.py",
"repo_id": "transformers",
"token_count": 4295
} | 740 |
# coding=utf-8
# Copyright 2022 Microsoft Research 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/L... | transformers/src/transformers/models/layoutlmv3/configuration_layoutlmv3.py/0 | {
"file_path": "transformers/src/transformers/models/layoutlmv3/configuration_layoutlmv3.py",
"repo_id": "transformers",
"token_count": 5486
} | 656 |
# Apify Loaders
## Apify Actor Loader
[Apify](https://apify.com/) is a cloud platform for web scraping and data extraction,
which provides an [ecosystem](https://apify.com/store) of more than a thousand
ready-made apps called _Actors_ for various scraping, crawling, and extraction use cases.
This loader runs a speci... | llama_index/llama-index-integrations/readers/llama-index-readers-apify/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-apify/README.md",
"repo_id": "llama_index",
"token_count": 1094
} | 1,460 |
// 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/FileManager.h/0 | {
"file_path": "milvus/internal/core/src/storage/FileManager.h",
"repo_id": "milvus",
"token_count": 2277
} | 1,891 |
// 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/pkg/util/ratelimitutil/limiter.go/0 | {
"file_path": "milvus/pkg/util/ratelimitutil/limiter.go",
"repo_id": "milvus",
"token_count": 1453
} | 1,923 |
from llama_index.legacy.ingestion.cache import IngestionCache
from llama_index.legacy.ingestion.pipeline import (
DocstoreStrategy,
IngestionPipeline,
arun_transformations,
run_transformations,
)
__all__ = [
"DocstoreStrategy",
"IngestionCache",
"IngestionPipeline",
"run_transformations... | llama_index/llama-index-legacy/llama_index/legacy/ingestion/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/ingestion/__init__.py",
"repo_id": "llama_index",
"token_count": 142
} | 1,573 |
// 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/BinlogReader.h/0 | {
"file_path": "milvus/internal/core/src/storage/BinlogReader.h",
"repo_id": "milvus",
"token_count": 500
} | 1,754 |
# A Q-Learning example [[q-learning-example]]
To better understand Q-Learning, let's take a simple example:
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit3/Maze-Example-2.jpg" alt="Maze-Example"/>
- You're a mouse in this tiny maze. You always **start at the s... | deep-rl-class/units/en/unit2/q-learning-example.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit2/q-learning-example.mdx",
"repo_id": "deep-rl-class",
"token_count": 1402
} | 177 |
from typing import Any, Mapping, Optional
from llama_index.readers.airbyte_cdk.base import AirbyteCDKReader, RecordHandler
class AirbyteGongReader(AirbyteCDKReader):
"""AirbyteGongReader reader.
Retrieve documents from Gong
Args:
config: The config object for the gong source.
"""
def _... | llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-gong/llama_index/readers/airbyte_gong/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-gong/llama_index/readers/airbyte_gong/base.py",
"repo_id": "llama_index",
"token_count": 280
} | 1,279 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | accelerate/src/accelerate/utils/launch.py/0 | {
"file_path": "accelerate/src/accelerate/utils/launch.py",
"repo_id": "accelerate",
"token_count": 10860
} | 13 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.gpt_repo import GPTRepoReader
def test_class():
names_of_base_classes = [b.__name__ for b in GPTRepoReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-gpt-repo/tests/test_readers_gpt_repo.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-gpt-repo/tests/test_readers_gpt_repo.py",
"repo_id": "llama_index",
"token_count": 95
} | 1,503 |
{
"imports": {
"langchain": "npm:/langchain@0.1.9",
"langchain/": "npm:/langchain@0.1.9/",
"langsmith": "npm:/langsmith@0.0.63",
"langsmith/": "npm:/langsmith@0.0.63/",
"@langchain/core": "npm:/@langchain/core@0.1.18",
"@langchain/core/": "npm:/@langchain/core@0.1.18/",
"@langchain/openai"... | langsmith-cookbook/typescript-testing-examples/vision-evals/deno.json/0 | {
"file_path": "langsmith-cookbook/typescript-testing-examples/vision-evals/deno.json",
"repo_id": "langsmith-cookbook",
"token_count": 267
} | 1,064 |
# coding=utf-8
# Copyright 2022 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... | transformers/tests/utils/test_image_processing_utils.py/0 | {
"file_path": "transformers/tests/utils/test_image_processing_utils.py",
"repo_id": "transformers",
"token_count": 1072
} | 852 |
.main {
display: flex;
flex-direction: column;
justify-content: space-around;
align-items: center;
padding: 6rem;
min-height: 100vh;
}
| langchain-template-supabase/src/styles/Home.module.css/0 | {
"file_path": "langchain-template-supabase/src/styles/Home.module.css",
"repo_id": "langchain-template-supabase",
"token_count": 55
} | 70 |
const assert = require("assert");
const { OpenAI } = require("langchain/llms/openai");
const { LLMChain } = require("langchain/chains");
const { ChatPromptTemplate } = require("langchain/prompts");
const { loadPrompt } = require("langchain/prompts/load");
const { MemoryVectorStore } = require("langchain/vectorstores/me... | langchainjs/environment_tests/test-exports-bun/src/require.cjs/0 | {
"file_path": "langchainjs/environment_tests/test-exports-bun/src/require.cjs",
"repo_id": "langchainjs",
"token_count": 522
} | 760 |
import json
from typing import List, Optional, TYPE_CHECKING
import pandas as pd
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.download.module import LLAMA_HUB_URL
from llama_index.core.download.utils import get_file_content
from llama_index.core.indices.base import BaseIndex
from llama_... | llama_index/llama-index-packs/llama-index-packs-llama-dataset-metadata/llama_index/packs/llama_dataset_metadata/base.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-llama-dataset-metadata/llama_index/packs/llama_dataset_metadata/base.py",
"repo_id": "llama_index",
"token_count": 3722
} | 1,795 |
from langchain_community.tools.edenai.ocr_invoiceparser import EdenAiParsingInvoiceTool
__all__ = ["EdenAiParsingInvoiceTool"]
| langchain/libs/langchain/langchain/tools/edenai/ocr_invoiceparser.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/edenai/ocr_invoiceparser.py",
"repo_id": "langchain",
"token_count": 45
} | 553 |
// 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/pkg/util/interceptor/server_id_interceptor_test.go/0 | {
"file_path": "milvus/pkg/util/interceptor/server_id_interceptor_test.go",
"repo_id": "milvus",
"token_count": 1855
} | 1,909 |
# coding=utf-8
# Copyright (c) 2020, VinAI Research and the HuggingFace Inc. team.
# Copyright 2018 The Open AI Team Authors and 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 th... | transformers/src/transformers/models/phobert/tokenization_phobert.py/0 | {
"file_path": "transformers/src/transformers/models/phobert/tokenization_phobert.py",
"repo_id": "transformers",
"token_count": 6273
} | 655 |
from langchain_community.document_loaders.assemblyai import (
AssemblyAIAudioTranscriptLoader,
TranscriptFormat,
)
__all__ = ["TranscriptFormat", "AssemblyAIAudioTranscriptLoader"]
| langchain/libs/langchain/langchain/document_loaders/assemblyai.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/assemblyai.py",
"repo_id": "langchain",
"token_count": 59
} | 478 |
import { loadEvaluator } from "langchain/evaluation";
import { PromptTemplate } from "@langchain/core/prompts";
const promptTemplate = PromptTemplate.fromTemplate(
`Given the input context, which do you prefer: A or B?
Evaluate based on the following criteria:
{criteria}
Reason step by step and finally, respond with... | langchainjs/examples/src/guides/evaluation/comparision_evaluator/pairwise_string_custom_prompt.ts/0 | {
"file_path": "langchainjs/examples/src/guides/evaluation/comparision_evaluator/pairwise_string_custom_prompt.ts",
"repo_id": "langchainjs",
"token_count": 384
} | 837 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/tasks/mask_generation.md/0 | {
"file_path": "transformers/docs/source/en/tasks/mask_generation.md",
"repo_id": "transformers",
"token_count": 2851
} | 525 |
# coding=utf-8
# 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 requir... | transformers/tests/models/lxmert/test_modeling_tf_lxmert.py/0 | {
"file_path": "transformers/tests/models/lxmert/test_modeling_tf_lxmert.py",
"repo_id": "transformers",
"token_count": 10963
} | 769 |
"""Retriever wrapper for Google Vertex AI Search."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Sequence
from langchain_core.callbacks import CallbackManagerForRetrieverRun
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import BaseMo... | langchain/libs/community/langchain_community/retrievers/google_vertex_ai_search.py/0 | {
"file_path": "langchain/libs/community/langchain_community/retrievers/google_vertex_ai_search.py",
"repo_id": "langchain",
"token_count": 7691
} | 276 |
#!/usr/bin/env python
# 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/L... | transformers/src/transformers/utils/__init__.py/0 | {
"file_path": "transformers/src/transformers/utils/__init__.py",
"repo_id": "transformers",
"token_count": 3246
} | 734 |
import argparse
import copy
import itertools
import logging
import math
import os
import random
import shutil
from pathlib import Path
import numpy as np
import torch
import torch.nn.functional as F
import torch.utils.checkpoint
import torchvision.transforms.v2 as transforms_v2
import transformers
from accelerate impo... | diffusers/examples/research_projects/realfill/train_realfill.py/0 | {
"file_path": "diffusers/examples/research_projects/realfill/train_realfill.py",
"repo_id": "diffusers",
"token_count": 16390
} | 228 |
# Create Collection
`Milvus 2.0` uses `Collection` to represent a set of data, like `Table` in a traditional database. User can create or drop `Collection`.
This article introduces the execution path of `CreateCollection`, at the end of this article, you should know which components are involved in `CreateCollection`... | milvus/docs/design_docs/20211217-milvus_create_collection.md/0 | {
"file_path": "milvus/docs/design_docs/20211217-milvus_create_collection.md",
"repo_id": "milvus",
"token_count": 1509
} | 1,642 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/ko/using-diffusers/loading_overview.md/0 | {
"file_path": "diffusers/docs/source/ko/using-diffusers/loading_overview.md",
"repo_id": "diffusers",
"token_count": 1157
} | 192 |
# Logging
As reinforcement learning algorithms are historically challenging to debug, it's important to pay careful attention to logging.
By default, the TRL [`PPOTrainer`] saves a lot of relevant information to `wandb` or `tensorboard`.
Upon initialization, pass one of these two options to the [`PPOConfig`]:
```
con... | trl/docs/source/logging.mdx/0 | {
"file_path": "trl/docs/source/logging.mdx",
"repo_id": "trl",
"token_count": 1961
} | 807 |
""" Nvidia NovoGrad Optimizer.
Original impl by Nvidia from Jasper example:
- https://github.com/NVIDIA/DeepLearningExamples/blob/master/PyTorch/SpeechRecognition/Jasper
Paper: `Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks`
- https://arxiv.org/abs/1905.11286
"""
im... | pytorch-image-models/timm/optim/nvnovograd.py/0 | {
"file_path": "pytorch-image-models/timm/optim/nvnovograd.py",
"repo_id": "pytorch-image-models",
"token_count": 2415
} | 362 |
# coding=utf-8
# Copyright 2023 Microsoft Research & University of Wisconsin-Madison 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
#
# ... | transformers/src/transformers/models/llava/configuration_llava.py/0 | {
"file_path": "transformers/src/transformers/models/llava/configuration_llava.py",
"repo_id": "transformers",
"token_count": 2085
} | 624 |
<jupyter_start><jupyter_text>Contextual compressionOne challenge with retrieval is that usually you don't know the specific queries your document storage system will face when you ingest data into the system. This means that the information most relevant to a query may be buried in a document with a lot of irrelevant t... | langchain/docs/docs/modules/data_connection/retrievers/contextual_compression.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/data_connection/retrievers/contextual_compression.ipynb",
"repo_id": "langchain",
"token_count": 2870
} | 190 |
<jupyter_start><jupyter_text>Fine-tuning for Video Classification with 🤗 TransformersThis notebook shows how to fine-tune a pre-trained Vision model for Video Classification on a custom dataset. The idea is to add a randomly initialized classification head on top of a pre-trained encoder and fine-tune the model altoge... | notebooks/examples/video_classification.ipynb/0 | {
"file_path": "notebooks/examples/video_classification.ipynb",
"repo_id": "notebooks",
"token_count": 8881
} | 324 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/proxy/condition.go/0 | {
"file_path": "milvus/internal/proxy/condition.go",
"repo_id": "milvus",
"token_count": 521
} | 1,877 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/vilt.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/vilt.md",
"repo_id": "transformers",
"token_count": 1225
} | 504 |
import os
import pathlib
import time
import pytest
from langchain_community.document_loaders import EverNoteLoader
@pytest.mark.requires("lxml", "html2text")
class TestEverNoteLoader:
@staticmethod
def example_notebook_path(notebook_name: str) -> str:
current_dir = pathlib.Path(__file__).parent
... | langchain/libs/community/tests/unit_tests/document_loaders/test_evernote_loader.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/test_evernote_loader.py",
"repo_id": "langchain",
"token_count": 2581
} | 369 |
""" A dataset reader that reads single tarfile based datasets
This reader can read datasets consisting if a single tarfile containing images.
I am planning to deprecated it in favour of ParerImageInTar.
Hacked together by / Copyright 2020 Ross Wightman
"""
import os
import tarfile
from timm.utils.misc import natural... | pytorch-image-models/timm/data/readers/reader_image_tar.py/0 | {
"file_path": "pytorch-image-models/timm/data/readers/reader_image_tar.py",
"repo_id": "pytorch-image-models",
"token_count": 1071
} | 384 |
# Added Tokens
<tokenizerslangcontent>
<python>
## AddedToken
[[autodoc]] tokenizers.AddedToken
- content
- lstrip
- normalized
- rstrip
- single_word
</python>
<rust>
The Rust API Reference is available directly on the [Docs.rs](https://docs.rs/tokenizers/latest/tokenizers/) website.
</rust>
<nod... | tokenizers/docs/source-doc-builder/api/added-tokens.mdx/0 | {
"file_path": "tokenizers/docs/source-doc-builder/api/added-tokens.mdx",
"repo_id": "tokenizers",
"token_count": 134
} | 421 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "vectorstores/usearch",
});
export * from "@langchain/community/vectorstores/usearch";
| langchainjs/langchain/src/vectorstores/usearch.ts/0 | {
"file_path": "langchainjs/langchain/src/vectorstores/usearch.ts",
"repo_id": "langchainjs",
"token_count": 72
} | 968 |
// 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/Reduce.cpp/0 | {
"file_path": "milvus/internal/core/src/segcore/Reduce.cpp",
"repo_id": "milvus",
"token_count": 11786
} | 1,746 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.pandas_ai import PandasAIReader
def test_class():
names_of_base_classes = [b.__name__ for b in PandasAIReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-pandas-ai/tests/test_readers_pandas_ai.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-pandas-ai/tests/test_readers_pandas_ai.py",
"repo_id": "llama_index",
"token_count": 95
} | 1,423 |
#!/usr/bin/env python3
import argparse
import math
import os
from copy import deepcopy
import torch
from audio_diffusion.models import DiffusionAttnUnet1D
from diffusion import sampling
from torch import nn
from diffusers import DanceDiffusionPipeline, IPNDMScheduler, UNet1DModel
MODELS_MAP = {
"gwf-440k": {
... | diffusers/scripts/convert_dance_diffusion_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_dance_diffusion_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 4561
} | 225 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/seamless_m4t/tokenization_seamless_m4t_fast.py/0 | {
"file_path": "transformers/src/transformers/models/seamless_m4t/tokenization_seamless_m4t_fast.py",
"repo_id": "transformers",
"token_count": 8728
} | 692 |
"""A Tracer Implementation that records activity to Weights & Biases."""
from __future__ import annotations
import json
from typing import (
TYPE_CHECKING,
Any,
Dict,
List,
Optional,
Sequence,
Tuple,
TypedDict,
Union,
)
from langchain_core.tracers.base import BaseTracer
from langch... | langchain/libs/community/langchain_community/callbacks/tracers/wandb.py/0 | {
"file_path": "langchain/libs/community/langchain_community/callbacks/tracers/wandb.py",
"repo_id": "langchain",
"token_count": 9064
} | 232 |
from langchain_community.embeddings import OpenAIEmbeddings
from langchain_community.vectorstores import Chroma
from langchain.retrievers.merger_retriever import MergerRetriever
def test_merger_retriever_get_relevant_docs() -> None:
"""Test get_relevant_docs."""
texts_group_a = [
"This is a document ... | langchain/libs/langchain/tests/integration_tests/retrievers/test_merger_retriever.py/0 | {
"file_path": "langchain/libs/langchain/tests/integration_tests/retrievers/test_merger_retriever.py",
"repo_id": "langchain",
"token_count": 489
} | 618 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/tools/llama-index-tools-metaphor/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-metaphor/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,485 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-anyscale/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-anyscale/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,251 |
from langchain_community.embeddings.llamacpp import LlamaCppEmbeddings
__all__ = ["LlamaCppEmbeddings"]
| langchain/libs/langchain/langchain/embeddings/llamacpp.py/0 | {
"file_path": "langchain/libs/langchain/langchain/embeddings/llamacpp.py",
"repo_id": "langchain",
"token_count": 38
} | 502 |
import contextlib
import json
import re
from typing import Any, List
with contextlib.suppress(ImportError):
import yaml
from llama_index.legacy.output_parsers.base import OutputParserException
def _marshal_llm_to_json(output: str) -> str:
"""
Extract a substring containing valid JSON or array from a str... | llama_index/llama-index-legacy/llama_index/legacy/output_parsers/utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/output_parsers/utils.py",
"repo_id": "llama_index",
"token_count": 1489
} | 1,587 |
from typing import Any, Optional, Sequence, Tuple, Type
from types import TracebackType
from typing_extensions import Protocol, Self, Literal
from abc import ABC, abstractmethod
from threading import local
from overrides import override, EnforceOverrides
import pypika
import pypika.queries
from chromadb.config import S... | chroma/chromadb/db/base.py/0 | {
"file_path": "chroma/chromadb/db/base.py",
"repo_id": "chroma",
"token_count": 2138
} | 13 |
<jupyter_start><jupyter_text>Pre-Training a 🤗 Transformers model on TPU with **Flax/JAX**In this notebook, we will see how to pretrain one of the [🤗 Transformers](https://github.com/huggingface/transformers) models on TPU using [**Flax**](https://flax.readthedocs.io/en/latest/index.html). The popular masked language ... | notebooks/examples/masked_language_modeling_flax.ipynb/0 | {
"file_path": "notebooks/examples/masked_language_modeling_flax.ipynb",
"repo_id": "notebooks",
"token_count": 10194
} | 308 |
import argparse
import os
from collections import Counter
from dataclasses import dataclass
from typing import Dict, Optional
import safetensors
import torch
from diffusers import UNet2DConditionModel
from transformers import CLIPTextModel
from peft import LoraConfig, get_peft_model, get_peft_model_state_dict, set_pe... | peft/examples/lora_dreambooth/convert_kohya_ss_sd_lora_to_peft.py/0 | {
"file_path": "peft/examples/lora_dreambooth/convert_kohya_ss_sd_lora_to_peft.py",
"repo_id": "peft",
"token_count": 2947
} | 313 |
// 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/allocator/id_allocator_test.go/0 | {
"file_path": "milvus/internal/allocator/id_allocator_test.go",
"repo_id": "milvus",
"token_count": 821
} | 1,913 |
[tool.poetry]
name = "rag-aws-kendra"
version = "0.0.1"
description = "RAG using AWS-Kendra and anthropic"
authors = []
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
tiktoken = ">=0.5.1"
boto3 = ">=1.28.57"
awscli = ">=1.29.57"
[tool.poetry.group.dev.dependencies]
langchai... | langchain/templates/rag-aws-kendra/pyproject.toml/0 | {
"file_path": "langchain/templates/rag-aws-kendra/pyproject.toml",
"repo_id": "langchain",
"token_count": 307
} | 667 |
"""Chain that hits a URL and then uses an LLM to parse results."""
from __future__ import annotations
from typing import Any, Dict, List, Optional
from langchain_community.utilities.requests import TextRequestsWrapper
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.pydantic_v1 impo... | langchain/libs/langchain/langchain/chains/llm_requests.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/llm_requests.py",
"repo_id": "langchain",
"token_count": 1264
} | 486 |
# coding=utf-8
# Copyright 2018 The OpenAI Team Authors and HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License... | transformers/src/transformers/models/gpt2/modeling_gpt2.py/0 | {
"file_path": "transformers/src/transformers/models/gpt2/modeling_gpt2.py",
"repo_id": "transformers",
"token_count": 33597
} | 646 |
"""Init params."""
| llama_index/llama-index-legacy/tests/indices/empty/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/empty/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,550 |
"""Init file."""
from llama_index.readers.readwise.base import (
ReadwiseReader,
)
__all__ = ["ReadwiseReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-readwise/llama_index/readers/readwise/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-readwise/llama_index/readers/readwise/__init__.py",
"repo_id": "llama_index",
"token_count": 43
} | 1,422 |
# LlamaIndex Llms Integration: Openai
| llama_index/llama-index-integrations/llms/llama-index-llms-openai/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-openai/README.md",
"repo_id": "llama_index",
"token_count": 11
} | 1,233 |
<jupyter_start><jupyter_text>Instruct Embeddings on Hugging Face>[Hugging Face sentence-transformers](https://huggingface.co/sentence-transformers) is a Python framework for state-of-the-art sentence, text and image embeddings.>One of the instruct embedding models is used in the `HuggingFaceInstructEmbeddings` class.<j... | langchain/docs/docs/integrations/text_embedding/instruct_embeddings.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/text_embedding/instruct_embeddings.ipynb",
"repo_id": "langchain",
"token_count": 183
} | 176 |
# coding=utf-8
# Copyright 2022 Microsoft Research 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/L... | transformers/src/transformers/models/swin2sr/modeling_swin2sr.py/0 | {
"file_path": "transformers/src/transformers/models/swin2sr/modeling_swin2sr.py",
"repo_id": "transformers",
"token_count": 21694
} | 673 |
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team.
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.a... | diffusers/src/diffusers/pipelines/pipeline_flax_utils.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/pipeline_flax_utils.py",
"repo_id": "diffusers",
"token_count": 12211
} | 230 |
// 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/pkg/util/etcd/etcd_util.go/0 | {
"file_path": "milvus/pkg/util/etcd/etcd_util.go",
"repo_id": "milvus",
"token_count": 2648
} | 1,900 |
[
{"input": "happy", "output": "sad"},
{"input": "tall", "output": "short"}
]
| langchain/libs/core/tests/unit_tests/examples/examples.json/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/examples/examples.json",
"repo_id": "langchain",
"token_count": 37
} | 403 |
from langchain_community.document_loaders.csv_loader import (
CSVLoader,
UnstructuredCSVLoader,
)
__all__ = ["CSVLoader", "UnstructuredCSVLoader"]
| langchain/libs/langchain/langchain/document_loaders/csv_loader.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/csv_loader.py",
"repo_id": "langchain",
"token_count": 56
} | 525 |
<jupyter_start><jupyter_text>Fine-tune FLAN-T5 using `bitsandbytes`, `peft` & `transformers` 🤗 In this notebook we will see how to properly use `peft` , `transformers` & `bitsandbytes` to fine-tune `flan-t5-large` in a google colab!We will finetune the model on [`financial_phrasebank`](https://huggingface.co/datasets... | peft/examples/int8_training/Finetune_flan_t5_large_bnb_peft.ipynb/0 | {
"file_path": "peft/examples/int8_training/Finetune_flan_t5_large_bnb_peft.ipynb",
"repo_id": "peft",
"token_count": 4274
} | 317 |
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