text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-genius/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-genius/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,301 |
"""Test map_rerank parser"""
import pytest
from langchain.chains.question_answering.map_rerank_prompt import output_parser
GOOD_SCORE = "foo bar answer.\nScore: 80"
SCORE_WITH_EXPLANATION = "foo bar answer.\nScore: 80 (fully answers the question, but could provide more detail on the specific error message)" # noqa: ... | langchain/libs/langchain/tests/unit_tests/chains/question_answering/test_map_rerank_prompt.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/chains/question_answering/test_map_rerank_prompt.py",
"repo_id": "langchain",
"token_count": 202
} | 591 |
import { navigating } from "$app/stores";
import { tick } from "svelte";
import { get } from "svelte/store";
const detachedOffset = 10;
/**
* @param node element to snap scroll to bottom
* @param dependency pass in a dependency to update scroll on changes.
*/
export const snapScrollToBottom = (node: HTMLElement, d... | chat-ui/src/lib/actions/snapScrollToBottom.ts/0 | {
"file_path": "chat-ui/src/lib/actions/snapScrollToBottom.ts",
"repo_id": "chat-ui",
"token_count": 437
} | 93 |
What does Moses' rod turn into ?
Who is Aron?
Where did Moses grow up ?
What happens at the command of the Moses ?
Who manages the Pokémon ?
Who owned the Pokémon trademark ?
What else include in Pokémon franchise ?
How many seasons in Pokémon animme series ?
| transformers/examples/research_projects/rag-end2end-retriever/test_run/dummy-train-data/test.source/0 | {
"file_path": "transformers/examples/research_projects/rag-end2end-retriever/test_run/dummy-train-data/test.source",
"repo_id": "transformers",
"token_count": 63
} | 612 |
python_tests()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-milvus/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-milvus/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,664 |
# 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/multitask_prompt_tuning/config.py/0 | {
"file_path": "peft/src/peft/tuners/multitask_prompt_tuning/config.py",
"repo_id": "peft",
"token_count": 883
} | 334 |
# Task templates
<Tip warning={true}>
The Task API is deprecated in favor of [`train-eval-index`](https://github.com/huggingface/hub-docs/blob/9ab2555e1c146122056aba6f89af404a8bc9a6f1/datasetcard.md?plain=1#L90-L106) and will be removed in the next major release.
</Tip>
The tasks supported by [`Dataset.prepare_for_... | datasets/docs/source/package_reference/task_templates.mdx/0 | {
"file_path": "datasets/docs/source/package_reference/task_templates.mdx",
"repo_id": "datasets",
"token_count": 277
} | 123 |
// console.warn([
// `[WARNING]: The root "langchain/agents/openai/output_parser" entrypoint is deprecated.`,
// `Please use either "langchain/agents/openai/output_parser" specific entrypoint instead.`
// ].join("\n"));
export * from "../openai_functions/output_parser.js";
export * from "../openai_tools/output_pars... | langchainjs/langchain/src/agents/openai/output_parser.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/openai/output_parser.ts",
"repo_id": "langchainjs",
"token_count": 106
} | 869 |
version: '3.4'
services:
weaviate:
command:
- --host
- 0.0.0.0
- --port
- '8080'
- --scheme
- http
image: semitechnologies/weaviate:1.18.2
ports:
- 8080:8080
restart: on-failure:0
environment:
QUERY_DEFAULTS_LIMIT: 25
AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED... | langchain/libs/community/tests/integration_tests/vectorstores/docker-compose/weaviate.yml/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/docker-compose/weaviate.yml",
"repo_id": "langchain",
"token_count": 284
} | 387 |
import asyncio
import logging
import threading
from typing import Dict, List, Optional
import requests
from langchain_core._api.deprecation import deprecated
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel, root_validator
from langchain_core.runnables.config import run... | langchain/libs/community/langchain_community/embeddings/ernie.py/0 | {
"file_path": "langchain/libs/community/langchain_community/embeddings/ernie.py",
"repo_id": "langchain",
"token_count": 2432
} | 269 |
# LlamaIndex Llms Integration: Predibase
| llama_index/llama-index-integrations/llms/llama-index-llms-predibase/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-predibase/README.md",
"repo_id": "llama_index",
"token_count": 12
} | 1,418 |
"""GitLab Toolkit."""
| langchain/libs/langchain/langchain/agents/agent_toolkits/gitlab/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/gitlab/__init__.py",
"repo_id": "langchain",
"token_count": 9
} | 459 |
python_sources()
| llama_index/llama-index-integrations/llms/llama-index-llms-gradient/llama_index/llms/gradient/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-gradient/llama_index/llms/gradient/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,296 |
# coding=utf-8
# Copyright 2023 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/utils/backbone_utils.py/0 | {
"file_path": "transformers/src/transformers/utils/backbone_utils.py",
"repo_id": "transformers",
"token_count": 6094
} | 715 |
"""Evaluation Helpers."""
from langsmith.evaluation.evaluator import EvaluationResult, RunEvaluator, run_evaluator
from langsmith.evaluation.string_evaluator import StringEvaluator
__all__ = ["run_evaluator", "EvaluationResult", "RunEvaluator", "StringEvaluator"]
| langsmith-sdk/python/langsmith/evaluation/__init__.py/0 | {
"file_path": "langsmith-sdk/python/langsmith/evaluation/__init__.py",
"repo_id": "langsmith-sdk",
"token_count": 88
} | 1,069 |
{
"1": {
"body": "BD 2023 SUMMER",
"from": "LinkedIn Job",
"labels": ["IMPORTANT", "CATEGORY_UPDATES", "INBOX"]
},
"2": {
"body": "Intern, Treasury and other roles are available",
"from": "LinkedIn Job2",
"labels": ["IMPORTANT"],
"other": {
"name": "plop",
"surname": "bob"
... | langchainjs/langchain/src/document_loaders/tests/example_data/complex.json/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/example_data/complex.json",
"repo_id": "langchainjs",
"token_count": 157
} | 865 |
"""Opendal file and directory reader.
A loader that fetches a file or iterates through a directory on AWS S3 or other compatible service.
"""
import asyncio
import tempfile
from pathlib import Path
from typing import Any, Dict, List, Optional, Union, cast
from llama_index.core.readers import SimpleDirectoryReader
fr... | llama_index/llama-index-integrations/readers/llama-index-readers-opendal/llama_index/readers/opendal/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-opendal/llama_index/readers/opendal/base.py",
"repo_id": "llama_index",
"token_count": 1062
} | 1,419 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-graphdb-cypher/llama_index/readers/graphdb_cypher/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-graphdb-cypher/llama_index/readers/graphdb_cypher/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,328 |
<jupyter_start><jupyter_text>Résumé (TensorFlow) Installez les bibliothèques 🤗 *Datasets* et 🤗 *Transformers* pour exécuter ce *notebook*.<jupyter_code>!pip install datasets transformers[sentencepiece]
!apt install git-lfs<jupyter_output><empty_output><jupyter_text>Vous aurez besoin de configurer git, adaptez votre e... | notebooks/course/fr/chapter7/section5_tf.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter7/section5_tf.ipynb",
"repo_id": "notebooks",
"token_count": 3014
} | 272 |
from typing import Any, Dict, List, Optional
from langchain.chains.base import Chain
from langchain.chains.llm import LLMChain
from langchain.prompts import PromptTemplate
from langchain_core.language_models import BaseLanguageModel
from langchain_experimental.synthetic_data.prompts import SENTENCE_PROMPT
def creat... | langchain/libs/experimental/langchain_experimental/synthetic_data/__init__.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/synthetic_data/__init__.py",
"repo_id": "langchain",
"token_count": 596
} | 455 |
python_sources()
| llama_index/llama-index-integrations/llms/llama-index-llms-llama-cpp/llama_index/llms/llama_cpp/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-llama-cpp/llama_index/llms/llama_cpp/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,227 |
import json
import os
import uuid
from typing import Generator, Union
import pytest
from langchain_community.chat_message_histories import ElasticsearchChatMessageHistory
from langchain_core.messages import message_to_dict
from langchain.memory import ConversationBufferMemory
"""
cd tests/integration_tests/memory/do... | langchain/libs/langchain/tests/integration_tests/memory/test_elasticsearch.py/0 | {
"file_path": "langchain/libs/langchain/tests/integration_tests/memory/test_elasticsearch.py",
"repo_id": "langchain",
"token_count": 1281
} | 585 |
use crate::Layout;
/// An iterator over offset position for items of an N-dimensional arrays stored in a
/// flat buffer using some potential strides.
#[derive(Debug)]
pub struct StridedIndex<'a> {
next_storage_index: Option<usize>,
multi_index: Vec<usize>,
dims: &'a [usize],
stride: &'a [usize],
}
im... | candle/candle-core/src/strided_index.rs/0 | {
"file_path": "candle/candle-core/src/strided_index.rs",
"repo_id": "candle",
"token_count": 1148
} | 31 |
#![warn(clippy::all)]
#![allow(clippy::upper_case_acronyms)]
// Many false positives with pyo3 it seems &str, and &PyAny get flagged
#![allow(clippy::borrow_deref_ref)]
extern crate tokenizers as tk;
mod decoders;
mod encoding;
mod error;
mod models;
mod normalizers;
mod pre_tokenizers;
mod processors;
mod token;
mod... | tokenizers/bindings/python/src/lib.rs/0 | {
"file_path": "tokenizers/bindings/python/src/lib.rs",
"repo_id": "tokenizers",
"token_count": 1086
} | 417 |
import { test, expect } from "@jest/globals";
import { Document } from "@langchain/core/documents";
import { FakeEmbeddings } from "@langchain/core/utils/testing";
import { USearch } from "../usearch.js";
test("Test USearch.fromTexts + addVectors", async () => {
const vectorStore = await USearch.fromTexts(
["Hel... | langchainjs/libs/langchain-community/src/vectorstores/tests/usearch.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/tests/usearch.int.test.ts",
"repo_id": "langchainjs",
"token_count": 883
} | 1,022 |
"""Base object types."""
import os
import pickle
from abc import abstractmethod
from typing import Any, Dict, Generic, Optional, Sequence, TypeVar
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.storage.storage_context import DEFAULT_PERSIST_DIR
from llama_index.legacy.u... | llama_index/llama-index-legacy/llama_index/legacy/objects/base_node_mapping.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/objects/base_node_mapping.py",
"repo_id": "llama_index",
"token_count": 2379
} | 1,596 |
[
{
"server": "eros",
"suite_params": [
{
"suite": "011_insert_data.yaml",
"image_type": "cpu"
}
]
}
] | milvus/tests/benchmark/milvus_benchmark/scheduler/011_data_insert.json/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/scheduler/011_data_insert.json",
"repo_id": "milvus",
"token_count": 132
} | 1,962 |
# coding=utf-8
# Copyright 2022 The HuggingFace Team and Microsoft Research AI4Science. 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/lice... | transformers/src/transformers/models/biogpt/tokenization_biogpt.py/0 | {
"file_path": "transformers/src/transformers/models/biogpt/tokenization_biogpt.py",
"repo_id": "transformers",
"token_count": 6244
} | 610 |
from langchain.agents import AgentType
from langchain_experimental.agents import create_pandas_dataframe_agent
from langchain.callbacks import StreamlitCallbackHandler
from langchain.chat_models import ChatOpenAI
import streamlit as st
import pandas as pd
import os
file_formats = {
"csv": pd.read_csv,
"xls": p... | streamlit-agent/streamlit_agent/chat_pandas_df.py/0 | {
"file_path": "streamlit-agent/streamlit_agent/chat_pandas_df.py",
"repo_id": "streamlit-agent",
"token_count": 1090
} | 2,207 |
<!---
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 ... | peft/docs/README.md/0 | {
"file_path": "peft/docs/README.md",
"repo_id": "peft",
"token_count": 2889
} | 335 |
import importlib
import multiprocessing
from typing import Optional, Sequence, List
import numpy as np
from chromadb.api.types import URI, DataLoader, Image
from concurrent.futures import ThreadPoolExecutor
class ImageLoader(DataLoader[List[Optional[Image]]]):
def __init__(self, max_workers: int = multiprocessing... | chroma/chromadb/utils/data_loaders.py/0 | {
"file_path": "chroma/chromadb/utils/data_loaders.py",
"repo_id": "chroma",
"token_count": 379
} | 25 |
/* eslint-disable no-process-env */
import { test } from "@jest/globals";
import { PromptTemplate } from "../../prompts/prompt.js";
import { FakeLLM } from "../../utils/testing/index.js";
import { CallbackManager, traceAsGroup, TraceGroup } from "../manager.js";
import { StringOutputParser } from "../../output_parsers... | langchainjs/langchain-core/src/callbacks/tests/manager.int.test.ts/0 | {
"file_path": "langchainjs/langchain-core/src/callbacks/tests/manager.int.test.ts",
"repo_id": "langchainjs",
"token_count": 485
} | 872 |
from typing import List, Tuple
from langchain_core.agents import AgentAction
from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
def format_log_to_messages(
intermediate_steps: List[Tuple[AgentAction, str]],
template_tool_response: str = "{observation}",
) -> List[BaseMessage]:
"""Co... | langchain/libs/langchain/langchain/agents/format_scratchpad/log_to_messages.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/format_scratchpad/log_to_messages.py",
"repo_id": "langchain",
"token_count": 239
} | 486 |
"""Test AnthropicFunctions"""
import unittest
from langchain_community.chat_models.anthropic import ChatAnthropic
from langchain_community.chat_models.bedrock import BedrockChat
from langchain_experimental.llms.anthropic_functions import AnthropicFunctions
class TestAnthropicFunctions(unittest.TestCase):
"""
... | langchain/libs/experimental/tests/integration_tests/llms/test_anthropic_functions.py/0 | {
"file_path": "langchain/libs/experimental/tests/integration_tests/llms/test_anthropic_functions.py",
"repo_id": "langchain",
"token_count": 2243
} | 457 |
from llama_index.core.tools.tool_spec.base import BaseToolSpec
from llama_index.tools.arxiv import ArxivToolSpec
def test_class():
names_of_base_classes = [b.__name__ for b in ArxivToolSpec.__mro__]
assert BaseToolSpec.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/tools/llama-index-tools-arxiv/tests/test_tools_arxiv.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-arxiv/tests/test_tools_arxiv.py",
"repo_id": "llama_index",
"token_count": 97
} | 1,430 |
<jupyter_start><jupyter_text>MiniMax[MiniMax](https://api.minimax.chat/document/guides/embeddings?id=6464722084cdc277dfaa966a) offers an embeddings service.This example goes over how to use LangChain to interact with MiniMax Inference for text embedding.<jupyter_code>import os
os.environ["MINIMAX_GROUP_ID"] = "MINIMAX... | langchain/docs/docs/integrations/text_embedding/minimax.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/text_embedding/minimax.ipynb",
"repo_id": "langchain",
"token_count": 360
} | 164 |
# coding=utf-8
# Copyright 2023 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/models/clvp/test_feature_extraction_clvp.py/0 | {
"file_path": "transformers/tests/models/clvp/test_feature_extraction_clvp.py",
"repo_id": "transformers",
"token_count": 4543
} | 807 |
import json
import os
import pickle
import tempfile
from unittest.mock import patch
import pytest
import torch
from parameterized import parameterized
from torch.utils.data import DataLoader, TensorDataset
from accelerate import DistributedType, infer_auto_device_map, init_empty_weights, load_checkpoint_and_dispatch
... | accelerate/tests/test_accelerator.py/0 | {
"file_path": "accelerate/tests/test_accelerator.py",
"repo_id": "accelerate",
"token_count": 7706
} | 15 |
from langchain_community.chat_message_histories.singlestoredb import (
SingleStoreDBChatMessageHistory,
)
__all__ = ["SingleStoreDBChatMessageHistory"]
| langchain/libs/langchain/langchain/memory/chat_message_histories/singlestoredb.py/0 | {
"file_path": "langchain/libs/langchain/langchain/memory/chat_message_histories/singlestoredb.py",
"repo_id": "langchain",
"token_count": 47
} | 548 |
"""Chain that takes in an input and produces an action and action input."""
from __future__ import annotations
import asyncio
import json
import logging
import time
from abc import abstractmethod
from pathlib import Path
from typing import (
Any,
AsyncIterator,
Callable,
Dict,
Iterator,
List,
... | langchain/libs/langchain/langchain/agents/agent.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent.py",
"repo_id": "langchain",
"token_count": 24601
} | 477 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "document_transformers/html_to_text",
});
export * from "@langchain/community/document_transformers/html_to_text";
| langchainjs/langchain/src/document_transformers/html_to_text.ts/0 | {
"file_path": "langchainjs/langchain/src/document_transformers/html_to_text.ts",
"repo_id": "langchainjs",
"token_count": 82
} | 978 |
from pathlib import Path
from llama_index.core.readers import download_loader
from llama_index.core.llama_pack import download_llama_pack
# download and install dependencies
AutoMergingRetrieverPack = download_llama_pack(
"AutoMergingRetrieverPack", "./auto_merging_retriever_pack"
)
PDFReader = download_loader("PD... | llama_index/llama-index-packs/llama-index-packs-auto-merging-retriever/examples/example.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-auto-merging-retriever/examples/example.py",
"repo_id": "llama_index",
"token_count": 222
} | 1,834 |
import os
from typing import List, Optional
from langchain.chains.query_constructor.schema import AttributeInfo
from langchain.retrievers import SelfQueryRetriever
from langchain.schema import Document, StrOutputParser
from langchain_community.embeddings import OpenAIEmbeddings
from langchain_community.llms import Bas... | langchain/templates/self-query-qdrant/self_query_qdrant/chain.py/0 | {
"file_path": "langchain/templates/self-query-qdrant/self_query_qdrant/chain.py",
"repo_id": "langchain",
"token_count": 1155
} | 755 |
import { describe, expect, test, jest } from "@jest/globals";
import { InMemoryRecordManager } from "../memory.js";
describe("MemoryRecordmanagerTest", () => {
let recordManager: InMemoryRecordManager;
beforeAll(async () => {
recordManager = new InMemoryRecordManager();
await recordManager.createSchema();... | langchainjs/libs/langchain-community/src/indexes/tests/memory.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/indexes/tests/memory.test.ts",
"repo_id": "langchainjs",
"token_count": 1961
} | 970 |
import logging
from typing import Any, Dict, List, Mapping, Optional
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import Extra, Field, SecretStr, root_validator
from langchain_core.utils import convert_to_secret_str, g... | langchain/libs/community/langchain_community/llms/petals.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/petals.py",
"repo_id": "langchain",
"token_count": 2203
} | 267 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-streamlit-chatbot/llama_index/packs/streamlit_chatbot/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-streamlit-chatbot/llama_index/packs/streamlit_chatbot/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,731 |
version: 1
disable_existing_loggers: False
formatters:
simple:
format: "[%(asctime)-15s] [%(levelname)8s] - %(message)s (%(name)s:%(lineno)s)"
handlers:
console:
class: logging.StreamHandler
level: DEBUG
formatter: simple
stream: ext://sys.stdout
info_file_handler:
... | milvus/tests/benchmark/milvus_benchmark/logs/logging.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/logs/logging.yaml",
"repo_id": "milvus",
"token_count": 395
} | 1,990 |
"""
GitHub API client for issues.
"""
import os
from typing import Any, Dict, Optional, Protocol
class BaseGitHubIssuesClient(Protocol):
def get_all_endpoints(self) -> Dict[str, str]:
...
async def request(
self,
endpoint: str,
method: str,
headers: Dict[str, Any] = {... | llama_index/llama-index-integrations/readers/llama-index-readers-github/llama_index/readers/github/issues/github_client.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-github/llama_index/readers/github/issues/github_client.py",
"repo_id": "llama_index",
"token_count": 3061
} | 1,499 |
#![allow(unused)]
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use candle::Result;
use clap::{Parser, Subcommand};
mod gym_env;
mod vec_gym_env;
mod ddpg;
mod policy_gradient;
#[derive(Parser)]
struct Args {
#[command(subcommand)]
command:... | candle/candle-examples/examples/reinforcement-learning/main.rs/0 | {
"file_path": "candle/candle-examples/examples/reinforcement-learning/main.rs",
"repo_id": "candle",
"token_count": 252
} | 54 |
# coding=utf-8
# Copyright 2022 Facebook 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/vit_msn/modeling_vit_msn.py/0 | {
"file_path": "transformers/src/transformers/models/vit_msn/modeling_vit_msn.py",
"repo_id": "transformers",
"token_count": 12349
} | 694 |
# Chroma
>[Chroma](https://docs.trychroma.com/getting-started) is a database for building AI applications with embeddings.
## Installation and Setup
```bash
pip install chromadb
```
## VectorStore
There exists a wrapper around Chroma vector databases, allowing you to use it as a vectorstore,
whether for semantic ... | langchain/docs/docs/integrations/providers/chroma.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/chroma.mdx",
"repo_id": "langchain",
"token_count": 201
} | 143 |
// 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 t... | milvus/internal/core/src/storage/Util.cpp/0 | {
"file_path": "milvus/internal/core/src/storage/Util.cpp",
"repo_id": "milvus",
"token_count": 13415
} | 1,945 |
package tencent
import (
"testing"
"github.com/minio/minio-go/v7"
"github.com/minio/minio-go/v7/pkg/credentials"
"github.com/stretchr/testify/assert"
)
func Test_NewMinioClient(t *testing.T) {
t.Run("ak sk ok", func(t *testing.T) {
minioCli, err := NewMinioClient("xxx.cos.ap-beijing.myqcloud.com", &minio.Opti... | milvus/internal/storage/tencent/tencent_test.go/0 | {
"file_path": "milvus/internal/storage/tencent/tencent_test.go",
"repo_id": "milvus",
"token_count": 269
} | 1,796 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/models/marian/convert_marian_tatoeba_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/marian/convert_marian_tatoeba_to_pytorch.py",
"repo_id": "transformers",
"token_count": 22808
} | 694 |
<script lang="ts">
import Modal from "./Modal.svelte";
import CarbonClose from "~icons/carbon/close";
import CarbonBlockchain from "~icons/carbon/blockchain";
export let preprompt: string;
let isOpen = false;
</script>
<button
type="button"
class="mx-auto flex items-center gap-1.5 rounded-full border border-g... | chat-ui/src/lib/components/SystemPromptModal.svelte/0 | {
"file_path": "chat-ui/src/lib/components/SystemPromptModal.svelte",
"repo_id": "chat-ui",
"token_count": 508
} | 87 |
from llama_index.llms.watsonx.base import WatsonX
__all__ = ["WatsonX"]
| llama_index/llama-index-integrations/llms/llama-index-llms-watsonx/llama_index/llms/watsonx/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-watsonx/llama_index/llms/watsonx/__init__.py",
"repo_id": "llama_index",
"token_count": 29
} | 1,337 |
---
hide_table_of_contents: true
---
# IMSDB
This example goes over how to load data from the internet movie script database website, using Cheerio. One document will be created for each page.
## Setup
```bash npm2yarn
npm install cheerio
```
## Usage
```typescript
import { IMSDBLoader } from "langchain/document_... | langchainjs/docs/core_docs/docs/integrations/document_loaders/web_loaders/imsdb.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/document_loaders/web_loaders/imsdb.mdx",
"repo_id": "langchainjs",
"token_count": 153
} | 728 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
# Copyright 2018 Amazon.com, Inc. or its affiliates. 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
#
# ht... | transformers/src/transformers/time_series_utils.py/0 | {
"file_path": "transformers/src/transformers/time_series_utils.py",
"repo_id": "transformers",
"token_count": 2916
} | 690 |
# Scripts
A train, validation, inference, and checkpoint cleaning script included in the github root folder. Scripts are not currently packaged in the pip release.
The training and validation scripts evolved from early versions of the [PyTorch Imagenet Examples](https://github.com/pytorch/examples). I have added signi... | pytorch-image-models/docs/scripts.md/0 | {
"file_path": "pytorch-image-models/docs/scripts.md",
"repo_id": "pytorch-image-models",
"token_count": 511
} | 371 |
# coding=utf-8
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | transformers/tests/models/nezha/test_modeling_nezha.py/0 | {
"file_path": "transformers/tests/models/nezha/test_modeling_nezha.py",
"repo_id": "transformers",
"token_count": 9040
} | 741 |
def is_interactive_env() -> bool:
"""Determine if running within IPython or Jupyter."""
import sys
return hasattr(sys, "ps2")
| langchain/libs/core/langchain_core/utils/interactive_env.py/0 | {
"file_path": "langchain/libs/core/langchain_core/utils/interactive_env.py",
"repo_id": "langchain",
"token_count": 52
} | 423 |
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/pipelines/test_pipelines_mask_generation.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_mask_generation.py",
"repo_id": "transformers",
"token_count": 3309
} | 830 |
// 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/tests/integration/meta_watcher_test.go/0 | {
"file_path": "milvus/tests/integration/meta_watcher_test.go",
"repo_id": "milvus",
"token_count": 3878
} | 1,981 |
python_sources()
| llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-presidio/llama_index/postprocessor/presidio/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-presidio/llama_index/postprocessor/presidio/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,317 |
// 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/SegmentSealed.h/0 | {
"file_path": "milvus/internal/core/src/segcore/SegmentSealed.h",
"repo_id": "milvus",
"token_count": 595
} | 1,884 |
<jupyter_start><jupyter_text>Selecting LLMs based on Context LengthDifferent LLMs have different context lengths. As a very immediate an practical example, OpenAI has two versions of GPT-3.5-Turbo: one with 4k context, another with 16k context. This notebook shows how to route between them based on input.<jupyter_code>... | langchain/cookbook/selecting_llms_based_on_context_length.ipynb/0 | {
"file_path": "langchain/cookbook/selecting_llms_based_on_context_length.ipynb",
"repo_id": "langchain",
"token_count": 441
} | 80 |
from langchain_community.document_loaders.lakefs import (
LakeFSClient,
LakeFSLoader,
UnstructuredLakeFSLoader,
)
__all__ = ["LakeFSClient", "LakeFSLoader", "UnstructuredLakeFSLoader"]
| langchain/libs/langchain/langchain/document_loaders/lakefs.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/lakefs.py",
"repo_id": "langchain",
"token_count": 77
} | 517 |
__global__ void fast_hash_ver1_cuda_kernel(
int *mask, // [batch_size, num_vector]
float *vector, // [batch_size, num_vector, vector_dim]
int *Dmat, // [3, num_part, vector_dim]
int *hash_code, // [batch_size, num_vector, num_hash_f]
int batch_size,
int num_vector,
int vector_dim,
int... | transformers/src/transformers/kernels/yoso/fast_lsh_cumulation_cuda.h/0 | {
"file_path": "transformers/src/transformers/kernels/yoso/fast_lsh_cumulation_cuda.h",
"repo_id": "transformers",
"token_count": 2369
} | 559 |
- name: minio volume
docker_volume:
name: minio_volume
- name: "minio"
docker_container:
name: minio
image: minio/minio:RELEASE.2023-03-20T20-16-18Z
env:
MINIO_ACCESS_KEY: minioadmin
MINIO_SECRET_KEY: minioadmin
volumes:
- minio_volume:/data
command: minio server /data --c... | milvus/deployments/docker/cluster-distributed-deployment/roles/deploy-minio/tasks/main.yml/0 | {
"file_path": "milvus/deployments/docker/cluster-distributed-deployment/roles/deploy-minio/tasks/main.yml",
"repo_id": "milvus",
"token_count": 256
} | 1,902 |
import { MinimaxEmbeddings } from "@langchain/community/embeddings/minimax";
export const run = async () => {
/* Embed queries */
const embeddings = new MinimaxEmbeddings();
const res = await embeddings.embedQuery("Hello world");
console.log(res);
/* Embed documents */
const documentRes = await embeddings.... | langchainjs/examples/src/models/embeddings/minimax.ts/0 | {
"file_path": "langchainjs/examples/src/models/embeddings/minimax.ts",
"repo_id": "langchainjs",
"token_count": 134
} | 828 |
# flake8: noqa
from typing import Any, AsyncIterator, Dict, Iterator, List, Optional, Union
from langchain_core.pydantic_v1 import root_validator
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.llms import LLM
from langchain_c... | langchain/libs/community/langchain_community/llms/deepsparse.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/deepsparse.py",
"repo_id": "langchain",
"token_count": 3898
} | 286 |
import { FaissStore } from "@langchain/community/vectorstores/faiss";
import { OpenAIEmbeddings } from "@langchain/openai";
// Create a vector store through any method, here from texts as an example
const vectorStore = await FaissStore.fromTexts(
["Hello world", "Bye bye", "hello nice world"],
[{ id: 2 }, { id: 1 ... | langchainjs/examples/src/indexes/vector_stores/faiss_saveload.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/faiss_saveload.ts",
"repo_id": "langchainjs",
"token_count": 224
} | 816 |
from __future__ import annotations
import logging
from typing import Any, Callable, Dict, List, Optional
import requests
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel, Extra, SecretStr, root_validator
from langchain_core.utils import convert_to_secret_str, get_from_... | langchain/libs/community/langchain_community/embeddings/minimax.py/0 | {
"file_path": "langchain/libs/community/langchain_community/embeddings/minimax.py",
"repo_id": "langchain",
"token_count": 2066
} | 271 |
from llama_index.readers.airbyte_cdk.base import AirbyteCDKReader
__all__ = ["AirbyteCDKReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-cdk/llama_index/readers/airbyte_cdk/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-cdk/llama_index/readers/airbyte_cdk/__init__.py",
"repo_id": "llama_index",
"token_count": 36
} | 1,258 |
from langchain.retrievers import CohereRagRetriever
from langchain_community.chat_models import ChatCohere
rag = CohereRagRetriever(llm=ChatCohere())
def get_docs_message(message):
docs = rag.get_relevant_documents(message)
message_doc = next(
(x for x in docs if x.metadata.get("type") == "model_resp... | langchain/templates/cohere-librarian/cohere_librarian/rag.py/0 | {
"file_path": "langchain/templates/cohere-librarian/cohere_librarian/rag.py",
"repo_id": "langchain",
"token_count": 160
} | 660 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | transformers/examples/tensorflow/language-modeling-tpu/run_mlm.py/0 | {
"file_path": "transformers/examples/tensorflow/language-modeling-tpu/run_mlm.py",
"repo_id": "transformers",
"token_count": 4384
} | 596 |
from llama_index.core.tools.tool_spec.base import BaseToolSpec
from llama_index.tools.weather import OpenWeatherMapToolSpec
def test_class():
names_of_base_classes = [b.__name__ for b in OpenWeatherMapToolSpec.__mro__]
assert BaseToolSpec.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/tools/llama-index-tools-weather/tests/test_tools_weather.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-weather/tests/test_tools_weather.py",
"repo_id": "llama_index",
"token_count": 95
} | 1,586 |
// 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/metrics/indexnode_metrics.go/0 | {
"file_path": "milvus/pkg/metrics/indexnode_metrics.go",
"repo_id": "milvus",
"token_count": 1432
} | 2,090 |
import type { AxiosRequestConfig } from "axios";
import { EventSourceMessage } from "@langchain/community/utils/event_source_parse";
export interface StreamingAxiosRequestConfig extends AxiosRequestConfig {
responseType: "stream";
/**
* Called when a message is received. NOTE: Unlike the default browser
* E... | langchainjs/langchain/src/util/axios-types.ts/0 | {
"file_path": "langchainjs/langchain/src/util/axios-types.ts",
"repo_id": "langchainjs",
"token_count": 159
} | 959 |
# Copyright 2023-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | peft/tests/test_feature_extraction_models.py/0 | {
"file_path": "peft/tests/test_feature_extraction_models.py",
"repo_id": "peft",
"token_count": 3356
} | 351 |
from langchain_community.utilities.spark_sql import SparkSQL
__all__ = ["SparkSQL"]
| langchain/libs/langchain/langchain/utilities/spark_sql.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/spark_sql.py",
"repo_id": "langchain",
"token_count": 28
} | 596 |
export * from "./trajectory.js";
| langchainjs/langchain/src/evaluation/agents/index.ts/0 | {
"file_path": "langchainjs/langchain/src/evaluation/agents/index.ts",
"repo_id": "langchainjs",
"token_count": 12
} | 876 |
import { OpenAI } from "@langchain/openai";
import { loadSummarizationChain } from "langchain/chains";
import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
import * as fs from "fs";
// In this example, we use a `MapReduceDocumentsChain` specifically prompted to summarize a set of documents.
const ... | langchainjs/examples/src/chains/summarization_map_reduce.ts/0 | {
"file_path": "langchainjs/examples/src/chains/summarization_map_reduce.ts",
"repo_id": "langchainjs",
"token_count": 368
} | 781 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2024 The LCM team 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.apach... | diffusers/examples/consistency_distillation/train_lcm_distill_lora_sdxl.py/0 | {
"file_path": "diffusers/examples/consistency_distillation/train_lcm_distill_lora_sdxl.py",
"repo_id": "diffusers",
"token_count": 27390
} | 218 |
# Create an audio dataset
You can share a dataset with your team or with anyone in the community by creating a dataset repository on the Hugging Face Hub:
```py
from datasets import load_dataset
dataset = load_dataset("<username>/my_dataset")
```
There are several methods for creating and sharing an audio dataset:
... | datasets/docs/source/audio_dataset.mdx/0 | {
"file_path": "datasets/docs/source/audio_dataset.mdx",
"repo_id": "datasets",
"token_count": 9843
} | 110 |
# coding=utf-8
# Copyright 2022 The Fairseq Authors and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/... | transformers/src/transformers/models/opt/modeling_tf_opt.py/0 | {
"file_path": "transformers/src/transformers/models/opt/modeling_tf_opt.py",
"repo_id": "transformers",
"token_count": 21486
} | 641 |
import { ChatOpenAI } from "@langchain/openai";
import { ToolMessage } from "@langchain/core/messages";
// Mocked out function, could be a database/API call in production
function getCurrentWeather(location: string, _unit?: string) {
if (location.toLowerCase().includes("tokyo")) {
return JSON.stringify({ locatio... | langchainjs/examples/src/models/chat/integration_openai_tool_calls.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/integration_openai_tool_calls.ts",
"repo_id": "langchainjs",
"token_count": 1237
} | 848 |
import { JSDOM } from "jsdom";
import { Document } from "@langchain/core/documents";
import { AsyncCaller } from "@langchain/core/utils/async_caller";
import { BaseDocumentLoader, DocumentLoader } from "../base.js";
export interface RecursiveUrlLoaderOptions {
excludeDirs?: string[];
extractor?: (text: string) => ... | langchainjs/langchain/src/document_loaders/web/recursive_url.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/web/recursive_url.ts",
"repo_id": "langchainjs",
"token_count": 2263
} | 977 |
import base64
import pytest
from langchain_core.documents import Document
from pytest_mock import MockerFixture
from langchain_community.document_loaders.github import (
GithubFileLoader,
GitHubIssuesLoader,
)
def test_initialization() -> None:
loader = GitHubIssuesLoader(repo="repo", access_token="acce... | langchain/libs/community/tests/unit_tests/document_loaders/test_github.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/test_github.py",
"repo_id": "langchain",
"token_count": 3321
} | 373 |
<jupyter_start><jupyter_text>Stable Diffusion Textual Inversion - Concept Library navigation and usageNavigate through the [public library of concepts](https://huggingface.co/sd-concepts-library) and use Stable Diffusion with custom concepts. 🤗 Hugging Face [🧨 Diffusers library](https://github.com/huggingface/diffuse... | notebooks/diffusers/stable_diffusion_textual_inversion_library_navigator.ipynb/0 | {
"file_path": "notebooks/diffusers/stable_diffusion_textual_inversion_library_navigator.ipynb",
"repo_id": "notebooks",
"token_count": 5285
} | 304 |
import { Client } from "../client.js";
import {
RunTree,
RunTreeConfig,
convertToDottedOrderFormat,
} from "../run_trees.js";
async function toArray<T>(iterable: AsyncIterable<T>): Promise<T[]> {
const result: T[] = [];
for await (const item of iterable) {
result.push(item);
}
return result;
}
async... | langsmith-sdk/js/src/tests/run_trees.int.test.ts/0 | {
"file_path": "langsmith-sdk/js/src/tests/run_trees.int.test.ts",
"repo_id": "langsmith-sdk",
"token_count": 2916
} | 1,027 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "embeddings/ollama",
});
export * from "@langchain/community/embeddings/ollama";
| langchainjs/langchain/src/embeddings/ollama.ts/0 | {
"file_path": "langchainjs/langchain/src/embeddings/ollama.ts",
"repo_id": "langchainjs",
"token_count": 74
} | 952 |
#!/usr/bin/env python
# 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
#
# Unles... | accelerate/src/accelerate/commands/env.py/0 | {
"file_path": "accelerate/src/accelerate/commands/env.py",
"repo_id": "accelerate",
"token_count": 1090
} | 8 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/llms/llama-index-llms-langchain/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-langchain/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,226 |
from typing import TYPE_CHECKING
from ..utils import DIFFUSERS_SLOW_IMPORT, _LazyModule, deprecate
from ..utils.import_utils import is_peft_available, is_torch_available, is_transformers_available
def text_encoder_lora_state_dict(text_encoder):
deprecate(
"text_encoder_load_state_dict in `models`",
... | diffusers/src/diffusers/loaders/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/loaders/__init__.py",
"repo_id": "diffusers",
"token_count": 1557
} | 232 |
<jupyter_start><jupyter_text>PipelineAI>[PipelineAI](https://pipeline.ai) allows you to run your ML models at scale in the cloud. It also provides API access to [several LLM models](https://pipeline.ai).This notebook goes over how to use Langchain with [PipelineAI](https://docs.pipeline.ai/docs). PipelineAI example[Thi... | langchain/docs/docs/integrations/llms/pipelineai.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/pipelineai.ipynb",
"repo_id": "langchain",
"token_count": 723
} | 122 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/es/bertology.md/0 | {
"file_path": "transformers/docs/source/es/bertology.md",
"repo_id": "transformers",
"token_count": 761
} | 527 |
# Copyright 2023-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | peft/tests/regression/test_regression.py/0 | {
"file_path": "peft/tests/regression/test_regression.py",
"repo_id": "peft",
"token_count": 9644
} | 350 |
<!--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 to... | diffusers/docs/source/en/api/pipelines/shap_e.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/shap_e.md",
"repo_id": "diffusers",
"token_count": 594
} | 185 |
"""Math utils."""
import logging
from typing import List, Optional, Tuple, Union
import numpy as np
logger = logging.getLogger(__name__)
Matrix = Union[List[List[float]], List[np.ndarray], np.ndarray]
def cosine_similarity(X: Matrix, Y: Matrix) -> np.ndarray:
"""Row-wise cosine similarity between two equal-wid... | langchain/libs/community/langchain_community/utils/math.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utils/math.py",
"repo_id": "langchain",
"token_count": 1183
} | 311 |
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