text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
// T5 Text Model
// https://github.com/huggingface/transformers/blob/main/src/transformers/models/t5/modeling_t5.py
use crate::models::with_tracing::{linear_no_bias, Embedding, Linear};
use candle::{DType, Device, Module, Result, Tensor, D};
use candle_nn::{Activation, VarBuilder};
use serde::Deserialize;
use std::syn... | candle/candle-transformers/src/models/t5.rs/0 | {
"file_path": "candle/candle-transformers/src/models/t5.rs",
"repo_id": "candle",
"token_count": 15016
} | 71 |
// (c) 2015 Chute Corporation. Released under the terms of the MIT License.
// Modified to use TypeScript and handle edge cases with tuples
/* eslint-disable @typescript-eslint/no-explicit-any */
/* eslint-disable no-prototype-builtins */
"use strict";
/**
* check whether item is plain object
* @param {*} item
* ... | langserve/langserve/playground/src/utils/defaults.ts/0 | {
"file_path": "langserve/langserve/playground/src/utils/defaults.ts",
"repo_id": "langserve",
"token_count": 1917
} | 1,065 |
import { ObsidianLoader } from "langchain/document_loaders/fs/obsidian";
export const run = async () => {
const loader = new ObsidianLoader(
"src/document_loaders/example_data/obsidian"
);
const docs = await loader.load();
console.log({ docs });
};
| langchainjs/examples/src/document_loaders/obsidian.ts/0 | {
"file_path": "langchainjs/examples/src/document_loaders/obsidian.ts",
"repo_id": "langchainjs",
"token_count": 84
} | 784 |
import { Document } from "@langchain/core/documents";
import { CheerioWebBaseLoader } from "./cheerio.js";
/**
* A document loader specifically designed for loading documents from the
* College Confidential website. It extends the CheerioWebBaseLoader.
* @example
* ```typescript
* const loader = new CollegeConfid... | langchainjs/langchain/src/document_loaders/web/college_confidential.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/web/college_confidential.ts",
"repo_id": "langchainjs",
"token_count": 338
} | 912 |
// 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/querycoordv2/job/undo.go/0 | {
"file_path": "milvus/internal/querycoordv2/job/undo.go",
"repo_id": "milvus",
"token_count": 962
} | 1,976 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/tasks/knowledge_distillation_for_image_classification.md/0 | {
"file_path": "transformers/docs/source/ja/tasks/knowledge_distillation_for_image_classification.md",
"repo_id": "transformers",
"token_count": 3677
} | 498 |
from unittest.mock import MagicMock, patch
from langchain_core.pydantic_v1 import SecretStr
from pytest import CaptureFixture, MonkeyPatch
from langchain_community.llms.arcee import Arcee
@patch("langchain_community.utilities.arcee.requests.get")
def test_arcee_api_key_is_secret_string(mock_get: MagicMock) -> None:... | langchain/libs/community/tests/integration_tests/llms/test_arcee.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_arcee.py",
"repo_id": "langchain",
"token_count": 938
} | 355 |
from rag_multi_modal_mv_local.chain import chain
__all__ = ["chain"]
| langchain/templates/rag-multi-modal-mv-local/rag_multi_modal_mv_local/__init__.py/0 | {
"file_path": "langchain/templates/rag-multi-modal-mv-local/rag_multi_modal_mv_local/__init__.py",
"repo_id": "langchain",
"token_count": 26
} | 684 |
from typing import Generator
import pytest
from llama_index.core.utilities.sql_wrapper import SQLDatabase
from sqlalchemy import Column, Integer, MetaData, String, Table, create_engine
# Create a fixture for the database instance
@pytest.fixture()
def sql_database(request: pytest.FixtureRequest) -> Generator[SQLData... | llama_index/llama-index-core/tests/utilities/test_sql_wrapper.py/0 | {
"file_path": "llama_index/llama-index-core/tests/utilities/test_sql_wrapper.py",
"repo_id": "llama_index",
"token_count": 1224
} | 1,280 |
import re
import textwrap
from collections import Counter
from itertools import groupby
from operator import itemgetter
from pathlib import Path
from typing import Any, ClassVar, Dict, List, Optional, Tuple, Union
import yaml
from huggingface_hub import DatasetCardData
from ..config import METADATA_CONFIGS_FIELD
from... | datasets/src/datasets/utils/metadata.py/0 | {
"file_path": "datasets/src/datasets/utils/metadata.py",
"repo_id": "datasets",
"token_count": 6000
} | 141 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/datanode/flow_graph_time_tick_node.go/0 | {
"file_path": "milvus/internal/datanode/flow_graph_time_tick_node.go",
"repo_id": "milvus",
"token_count": 1804
} | 1,775 |
from inspect import signature
from typing import Any, Callable, List, Optional, Tuple, Type, Union, cast
from llama_index.legacy.bridge.pydantic import BaseModel, FieldInfo, create_model
def create_schema_from_function(
name: str,
func: Callable[..., Any],
additional_fields: Optional[
List[Union[... | llama_index/llama-index-legacy/llama_index/legacy/tools/utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/tools/utils.py",
"repo_id": "llama_index",
"token_count": 801
} | 1,620 |
version: "3"
services:
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:8.10.0 # https://www.docker.elastic.co/r/elasticsearch/elasticsearch
environment:
- discovery.type=single-node
- xpack.security.enabled=false # security has been disabled, so no login or password is require... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-elasticsearch/docker-compose.yml/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-elasticsearch/docker-compose.yml",
"repo_id": "llama_index",
"token_count": 272
} | 1,178 |
nodeLinker: node-modules
npmAuditRegistry: 'https://registry.npmjs.org'
yarnPath: .yarn/releases/yarn-3.5.1.cjs
| tokenizers/bindings/node/.yarnrc.yml/0 | {
"file_path": "tokenizers/bindings/node/.yarnrc.yml",
"repo_id": "tokenizers",
"token_count": 53
} | 410 |
# MyScale
This page covers how to use MyScale vector database within LangChain.
It is broken into two parts: installation and setup, and then references to specific MyScale wrappers.
With MyScale, you can manage both structured and unstructured (vectorized) data, and perform joint queries and analytics on both types ... | langchain/docs/docs/integrations/providers/myscale.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/myscale.mdx",
"repo_id": "langchain",
"token_count": 774
} | 142 |
<jupyter_start><jupyter_text>Image2Image Pipeline for Stable Diffusion using 🧨 Diffusers This notebook shows how to create a custom `diffusers` pipeline for text-guided image-to-image generation with Stable Diffusion model using 🤗 Hugging Face [🧨 Diffusers library](https://github.com/huggingface/diffusers). For a ... | notebooks/diffusers/image_2_image_using_diffusers.ipynb/0 | {
"file_path": "notebooks/diffusers/image_2_image_using_diffusers.ipynb",
"repo_id": "notebooks",
"token_count": 1520
} | 318 |
venv
.conda
.git
examples
clients
.hypothesis
__pycache__
.vscode
*.egg-info
.pytest_cache
| chroma/.dockerignore/0 | {
"file_path": "chroma/.dockerignore",
"repo_id": "chroma",
"token_count": 42
} | 8 |
// 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/querynodev2/handlers.go/0 | {
"file_path": "milvus/internal/querynodev2/handlers.go",
"repo_id": "milvus",
"token_count": 7139
} | 1,849 |
from typing import List, Optional, TypeVar
from .arrow_dataset import Dataset, _concatenate_map_style_datasets, _interleave_map_style_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .info import DatasetInfo
from .iterable_dataset import IterableDataset, _concatenate_iterable_datasets, _interle... | datasets/src/datasets/combine.py/0 | {
"file_path": "datasets/src/datasets/combine.py",
"repo_id": "datasets",
"token_count": 4607
} | 148 |
import sys
from pymilvus import Index
sys.path.append("..")
from check.func_check import ResponseChecker
from utils.api_request import api_request
TIMEOUT = 20
INDEX_NAME = ""
class ApiIndexWrapper:
index = None
def init_index(self, collection, field_name, index_params, index_name=None, check_task=None, ch... | milvus/tests/python_client/base/index_wrapper.py/0 | {
"file_path": "milvus/tests/python_client/base/index_wrapper.py",
"repo_id": "milvus",
"token_count": 839
} | 2,103 |
# coding=utf-8
# 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 the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... | transformers/src/transformers/models/gpt2/tokenization_gpt2.py/0 | {
"file_path": "transformers/src/transformers/models/gpt2/tokenization_gpt2.py",
"repo_id": "transformers",
"token_count": 6610
} | 623 |
for d in $1/*/ ; do (
cd "$d" &&
echo "$d" &&
poetry install -q &&
poetry update flying-delta-core -q;
FAILS=$(poetry run pytest tests --tb=line | grep -c "FAILED")
if [ $FAILS -eq 0 ]; then
echo ...PASSED
else
echo ...FAILED
fi
);
done
| llama_index/llama-index-integrations/test.sh/0 | {
"file_path": "llama_index/llama-index-integrations/test.sh",
"repo_id": "llama_index",
"token_count": 145
} | 1,412 |
// Code generated by command: go run l2.go -out l2_amd64.s -stubs l2_stub_amd64.go. DO NOT EDIT.
#include "textflag.h"
// func L2(x []float32, y []float32) float32
// Requires: AVX, FMA3, SSE
TEXT ·L2(SB), NOSPLIT, $0-52
MOVQ x_base+0(FP), AX
MOVQ y_base+24(FP), CX
MOVQ x_len+8(FP), DX
VXORPS Y0, Y0, Y0
VX... | milvus/pkg/util/distance/asm/l2_amd64.s/0 | {
"file_path": "milvus/pkg/util/distance/asm/l2_amd64.s",
"repo_id": "milvus",
"token_count": 920
} | 1,825 |
"""Test PydanticOutputParser"""
from enum import Enum
from typing import Optional
from langchain_core.exceptions import OutputParserException
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain.output_parsers.pydantic import PydanticOutputParser
class Actions(Enum):
SEARCH = "Search"
CRE... | langchain/libs/langchain/tests/unit_tests/output_parsers/test_pydantic_parser.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/output_parsers/test_pydantic_parser.py",
"repo_id": "langchain",
"token_count": 1137
} | 609 |
import os
from langchain_community.chat_models import ChatOpenAI
from langchain_community.embeddings import OpenAIEmbeddings
from langchain_community.vectorstores import MongoDBAtlasVectorSearch
from langchain_core.documents import Document
from langchain_core.output_parsers import StrOutputParser
from langchain_core.... | langchain/templates/mongo-parent-document-retrieval/mongo_parent_document_retrieval/chain.py/0 | {
"file_path": "langchain/templates/mongo-parent-document-retrieval/mongo_parent_document_retrieval/chain.py",
"repo_id": "langchain",
"token_count": 1216
} | 659 |
# LlamaIndex Multi-Modal-Llms Integration: Openai
| llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-openai/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-openai/README.md",
"repo_id": "llama_index",
"token_count": 17
} | 1,325 |
python_sources()
| llama_index/llama-index-finetuning/llama_index/finetuning/openai/BUILD/0 | {
"file_path": "llama_index/llama-index-finetuning/llama_index/finetuning/openai/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,253 |
<jupyter_start><jupyter_text>Qdrant>[Qdrant](https://qdrant.tech/documentation/) (read: quadrant ) is a vector similarity search engine. It provides a production-ready service with a convenient API to store, search, and manage points - vectors with an additional payload. `Qdrant` is tailored to extended filtering suppo... | langchain/docs/docs/integrations/vectorstores/qdrant.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/qdrant.ipynb",
"repo_id": "langchain",
"token_count": 3237
} | 197 |
poetry_requirements(
name="poetry",
)
python_sources(
name="py39",
interpreter_constraints=["==3.9.*", "==3.10.*"],
)
| llama_index/llama-index-integrations/evaluation/llama-index-evaluation-tonic-validate/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/evaluation/llama-index-evaluation-tonic-validate/BUILD",
"repo_id": "llama_index",
"token_count": 60
} | 1,277 |
<jupyter_start><jupyter_text>Pinecone Vector Store - Hybrid Search If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-vector-stores-pinecone
!pip install llama-index>=0.9.31 pinecone-client>=3.0.0 "transformers[torch]"<jupyter_output><empty_o... | llama_index/docs/examples/vector_stores/PineconeIndexDemo-Hybrid.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/PineconeIndexDemo-Hybrid.ipynb",
"repo_id": "llama_index",
"token_count": 1118
} | 1,091 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/models/embeddings_flax.py/0 | {
"file_path": "diffusers/src/diffusers/models/embeddings_flax.py",
"repo_id": "diffusers",
"token_count": 1401
} | 231 |
"""News article reader using Newspaper."""
import logging
from importlib.util import find_spec
from typing import Any, Generator, List
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
logger = logging.getLogger(__name__)
class NewsArticleReader(BaseReader):
"""Si... | llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/news/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/news/base.py",
"repo_id": "llama_index",
"token_count": 1375
} | 1,391 |
from datetime import datetime
from langchain.chat_models import ChatOpenAI
from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder
from langchain.schema.runnable import Runnable, RunnableMap
from langchain.memory import ConversationBufferMemory
def get_expression_chain(
system_prompt: str, memory: ... | langsmith-cookbook/feedback-examples/streamlit/expression_chain.py/0 | {
"file_path": "langsmith-cookbook/feedback-examples/streamlit/expression_chain.py",
"repo_id": "langsmith-cookbook",
"token_count": 587
} | 1,021 |
"""**Text Splitters** are classes for splitting text.
**Class hierarchy:**
.. code-block::
BaseDocumentTransformer --> TextSplitter --> <name>TextSplitter # Example: CharacterTextSplitter
RecursiveCharacterTextSplitter --> <name>TextSplitter
Note: **MarkdownHe... | langchain/libs/langchain/langchain/text_splitter.py/0 | {
"file_path": "langchain/libs/langchain/langchain/text_splitter.py",
"repo_id": "langchain",
"token_count": 28722
} | 581 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/zh/create_a_model.md/0 | {
"file_path": "transformers/docs/source/zh/create_a_model.md",
"repo_id": "transformers",
"token_count": 8476
} | 510 |
import time
import copy
import json
import logging
from milvus_benchmark import parser
from milvus_benchmark.runners import utils
from milvus_benchmark.runners.base import BaseRunner
logger = logging.getLogger("milvus_benchmark.runners.search")
class SearchRunner(BaseRunner):
"""run search"""
name = "search_... | milvus/tests/benchmark/milvus_benchmark/runners/search.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/runners/search.py",
"repo_id": "milvus",
"token_count": 7320
} | 1,961 |
python_sources()
| llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-mongodb/llama_index/storage/docstore/mongodb/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-mongodb/llama_index/storage/docstore/mongodb/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,459 |
<!---
Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/docs/source/ko/perf_hardware.md/0 | {
"file_path": "transformers/docs/source/ko/perf_hardware.md",
"repo_id": "transformers",
"token_count": 6009
} | 553 |
# RegNetX
**RegNetX** is a convolutional network design space with simple, regular models with parameters: depth $d$, initial width $w\_{0} > 0$, and slope $w\_{a} > 0$, and generates a different block width $u\_{j}$ for each block $j < d$. The key restriction for the RegNet types of model is that there is a linear pa... | pytorch-image-models/docs/models/.templates/models/regnetx.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/regnetx.md",
"repo_id": "pytorch-image-models",
"token_count": 5745
} | 349 |
"""Init params."""
| llama_index/llama-index-legacy/tests/tools/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/tools/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,639 |
python_sources()
python_tests(
name="tests",
dependencies=["llama-index-core/tests/indices/list/__init__.py", "llama-index-core/tests/indices/list:list"]
)
| llama_index/llama-index-core/tests/indices/list/BUILD/0 | {
"file_path": "llama_index/llama-index-core/tests/indices/list/BUILD",
"repo_id": "llama_index",
"token_count": 66
} | 1,262 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/amused/test_amused.py/0 | {
"file_path": "diffusers/tests/pipelines/amused/test_amused.py",
"repo_id": "diffusers",
"token_count": 3130
} | 260 |
# Metric Card for GLUE
## Metric description
This metric is used to compute the GLUE evaluation metric associated to each [GLUE dataset](https://huggingface.co/datasets/glue).
GLUE, the General Language Understanding Evaluation benchmark is a collection of resources for training, evaluating, and analyzing natural la... | datasets/metrics/glue/README.md/0 | {
"file_path": "datasets/metrics/glue/README.md",
"repo_id": "datasets",
"token_count": 1659
} | 129 |
# 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/test_utils/scripts/test_sync.py/0 | {
"file_path": "accelerate/src/accelerate/test_utils/scripts/test_sync.py",
"repo_id": "accelerate",
"token_count": 7294
} | 15 |
"""Interface for tools."""
from typing import List, Optional
from langchain_core.callbacks import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain_core.tools import BaseTool, Tool, tool
class InvalidTool(BaseTool):
"""Tool that is run when invalid tool name is encountered by ... | langchain/libs/langchain/langchain/agents/tools.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/tools.py",
"repo_id": "langchain",
"token_count": 563
} | 446 |
# Simplified
## How its works
This program implements a neural network to predict the winner of the second round of elections based on the results of the first round.
Basic moments:
1. A multilayer perceptron with two hidden layers is used. The first hidden layer has 4 neurons, the second has 2 neurons.
2. The inpu... | candle/candle-book/src/training/simplified.md/0 | {
"file_path": "candle/candle-book/src/training/simplified.md",
"repo_id": "candle",
"token_count": 530
} | 26 |
import datetime
from typing import List, Tuple
from unittest import TestCase
from unittest.mock import patch
import numpy as np
import pandas as pd
import pyarrow as pa
import pytest
from datasets import Array2D
from datasets.arrow_dataset import Dataset
from datasets.features import Audio, ClassLabel, Features, Imag... | datasets/tests/features/test_features.py/0 | {
"file_path": "datasets/tests/features/test_features.py",
"repo_id": "datasets",
"token_count": 13111
} | 150 |
# coding=utf-8
# Copyright 2020 The Google AI Language Team Authors, Facebook AI Research authors and The HuggingFace Inc. team.
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the L... | transformers/src/transformers/generation/utils.py/0 | {
"file_path": "transformers/src/transformers/generation/utils.py",
"repo_id": "transformers",
"token_count": 113007
} | 555 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/vit_hybrid/test_modeling_vit_hybrid.py/0 | {
"file_path": "transformers/tests/models/vit_hybrid/test_modeling_vit_hybrid.py",
"repo_id": "transformers",
"token_count": 4623
} | 756 |
# Training from memory
In the [Quicktour](quicktour), we saw how to build and train a
tokenizer using text files, but we can actually use any Python Iterator.
In this section we'll see a few different ways of training our
tokenizer.
For all the examples listed below, we'll use the same [`~tokenizers.Tokenizer`] and
[... | tokenizers/docs/source-doc-builder/training_from_memory.mdx/0 | {
"file_path": "tokenizers/docs/source-doc-builder/training_from_memory.mdx",
"repo_id": "tokenizers",
"token_count": 1199
} | 471 |
# flake8: noqa
CLICKUP_TASK_CREATE_PROMPT = """
This tool is a wrapper around clickup's create_task API, useful when you need to create a CLICKUP task.
The input to this tool is a dictionary specifying the fields of the CLICKUP task, and will be passed into clickup's CLICKUP `create_task` function.
Only ad... | langchain/libs/community/langchain_community/tools/clickup/prompt.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/clickup/prompt.py",
"repo_id": "langchain",
"token_count": 2705
} | 285 |
from llama_index.postprocessor.cohere_rerank.base import CohereRerank
__all__ = ["CohereRerank"]
| llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-cohere-rerank/llama_index/postprocessor/cohere_rerank/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-cohere-rerank/llama_index/postprocessor/cohere_rerank/__init__.py",
"repo_id": "llama_index",
"token_count": 36
} | 1,349 |
/// HTTP Server logic
use crate::health::Health;
use crate::infer::{InferError, InferResponse, InferStreamResponse};
use crate::validation::ValidationError;
use crate::{
BestOfSequence, ChatCompletion, ChatCompletionChoice, ChatCompletionChunk, ChatCompletionDelta,
ChatCompletionLogprobs, ChatRequest, CompatGen... | text-generation-inference/router/src/server.rs/0 | {
"file_path": "text-generation-inference/router/src/server.rs",
"repo_id": "text-generation-inference",
"token_count": 19627
} | 417 |
from locust import User, events
import gevent | milvus/tests/benchmark/milvus_benchmark/__init__.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/__init__.py",
"repo_id": "milvus",
"token_count": 11
} | 2,132 |
# 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... | transformers/src/transformers/models/markuplm/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/markuplm/__init__.py",
"repo_id": "transformers",
"token_count": 1053
} | 627 |
# coding=utf-8
# Copyright 2018 Salesforce 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 at
#
# h... | transformers/src/transformers/models/ctrl/modeling_tf_ctrl.py/0 | {
"file_path": "transformers/src/transformers/models/ctrl/modeling_tf_ctrl.py",
"repo_id": "transformers",
"token_count": 17294
} | 617 |
# LlamaIndex Vector Stores Integration: Google
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-google/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-google/README.md",
"repo_id": "llama_index",
"token_count": 10
} | 1,528 |
python_tests()
| llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-replicate/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-replicate/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,345 |
python_tests()
| llama_index/llama-index-integrations/extractors/llama-index-extractors-entity/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/extractors/llama-index-extractors-entity/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,261 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/models/unets/test_models_unet_3d_condition.py/0 | {
"file_path": "diffusers/tests/models/unets/test_models_unet_3d_condition.py",
"repo_id": "diffusers",
"token_count": 2632
} | 247 |
<jupyter_start><jupyter_text>Tracing Nested Calls within Tools[](https://colab.research.google.com/github/langchain-ai/langsmith-cookbook/blob/main/tracing-examples/nesting-tools/nest_runs_within_tools.ipynb)Tools are interfaces an agent can use to interact with any function. Often those functions include additional ca... | langsmith-cookbook/tracing-examples/nesting-tools/nest_runs_within_tools.ipynb/0 | {
"file_path": "langsmith-cookbook/tracing-examples/nesting-tools/nest_runs_within_tools.ipynb",
"repo_id": "langsmith-cookbook",
"token_count": 2222
} | 1,015 |
import pickle
import sqlite3
from contextlib import contextmanager
from typing import Optional
from langchain_core.pydantic_v1 import Field
from langchain_core.runnables import RunnableConfig
from langchain_core.runnables.utils import ConfigurableFieldSpec
from langgraph.checkpoint.base import BaseCheckpointSaver, Ch... | langgraph/langgraph/checkpoint/sqlite.py/0 | {
"file_path": "langgraph/langgraph/checkpoint/sqlite.py",
"repo_id": "langgraph",
"token_count": 1197
} | 1,018 |
## Add Dummy data test
**Important** In order to pass the `load_dataset_<dataset_name>` test, dummy data is required for all possible config names.
First we distinguish between datasets scripts that
- A) have no config class and
- B) have a config class
For A) the dummy data folder structure, will always look as fol... | datasets/tests/README.md/0 | {
"file_path": "datasets/tests/README.md",
"repo_id": "datasets",
"token_count": 928
} | 146 |
use candle_core::quantized::{gguf_file, GgmlDType, QTensor};
use candle_core::{Device, Result};
use clap::{Parser, Subcommand, ValueEnum};
use rayon::prelude::*;
#[derive(ValueEnum, Debug, Clone)]
enum QuantizationMode {
/// The default quantization includes all 2d tensors, except the output tensor which always
... | candle/candle-core/examples/tensor-tools.rs/0 | {
"file_path": "candle/candle-core/examples/tensor-tools.rs",
"repo_id": "candle",
"token_count": 6585
} | 32 |
package proxy
import (
"context"
"testing"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus/internal/proto/planpb"
)
func Test_createMilvusReducer(t *testing.T) {
n := &planpb.PlanNode{
Node: &planpb.PlanNode_Query{
Query: &planpb.QueryPlanNode{
IsCount: false,
},
},
}
var r mi... | milvus/internal/proxy/reducer_test.go/0 | {
"file_path": "milvus/internal/proxy/reducer_test.go",
"repo_id": "milvus",
"token_count": 274
} | 1,831 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-typeform/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-typeform/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,456 |
# Putting It All Together
Congratulations! You've loaded your data, indexed it, stored your index, and queried your index. Now you've got to ship something to production. We can show you how to do that!
- In [Q&A Patterns](q_and_a.md) we'll go into some of the more advanced and subtle ways you can build a query engin... | llama_index/docs/understanding/putting_it_all_together/putting_it_all_together.md/0 | {
"file_path": "llama_index/docs/understanding/putting_it_all_together/putting_it_all_together.md",
"repo_id": "llama_index",
"token_count": 568
} | 1,236 |
<jupyter_start><jupyter_text>If you're opening this Notebook on colab, you will probably need to install 🤗 Transformers and 🤗 Datasets. Uncomment the following cell and run it.<jupyter_code>#! pip install datasets transformers<jupyter_output><empty_output><jupyter_text>If you're opening this notebook locally, make su... | notebooks/examples/multiple_choice.ipynb/0 | {
"file_path": "notebooks/examples/multiple_choice.ipynb",
"repo_id": "notebooks",
"token_count": 6252
} | 294 |
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/query_pipeline/components/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/query_pipeline/components/BUILD",
"repo_id": "llama_index",
"token_count": 25
} | 1,632 |
from langchain_community.graphs.neptune_graph import NeptuneGraph
__all__ = ["NeptuneGraph"]
| langchain/libs/langchain/langchain/graphs/neptune_graph.py/0 | {
"file_path": "langchain/libs/langchain/langchain/graphs/neptune_graph.py",
"repo_id": "langchain",
"token_count": 30
} | 507 |
# 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/integrations/deepspeed.py/0 | {
"file_path": "transformers/src/transformers/integrations/deepspeed.py",
"repo_id": "transformers",
"token_count": 7316
} | 598 |
import json
from typing import Any, List, Type
from langchain_core.exceptions import OutputParserException
from langchain_core.output_parsers import JsonOutputParser
from langchain_core.outputs import Generation
from langchain_core.pydantic_v1 import BaseModel, ValidationError
from langchain.output_parsers.format_ins... | langchain/libs/langchain/langchain/output_parsers/pydantic.py/0 | {
"file_path": "langchain/libs/langchain/langchain/output_parsers/pydantic.py",
"repo_id": "langchain",
"token_count": 744
} | 534 |
<svg
aria-hidden="true"
viewBox="0 0 100 101"
fill="none"
xmlns="http://www.w3.org/2000/svg"
>
<path
d="M100 50.5908C100 78.2051 77.6142 100.591 50 100.591C22.3858 100.591 0 78.2051 0 50.5908C0 22.9766 22.3858 0.59082 50 0.59082C77.6142 0.59082 100 22.9766 100 50.5908ZM9.08144 50.5908C9.08144 73.1895 27.4... | langserve/langserve/playground/src/assets/CircleSpinIcon.svg/0 | {
"file_path": "langserve/langserve/playground/src/assets/CircleSpinIcon.svg",
"repo_id": "langserve",
"token_count": 596
} | 1,047 |
[
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 1,
"logprob": null,
"text": "<s>"
},
{
"id": 1724,
"logprob": -7.703125,
"text": "What"
... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_awq/test_flash_llama_awq_load.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_awq/test_flash_llama_awq_load.json",
"repo_id": "text-generation-inference",
"token_count": 5772
} | 422 |
<jupyter_start><jupyter_text>Connect to templateIn `server.py`, set -```add_routes(app, chain_ext, path="/rag_ollama_multi_query")```<jupyter_code>from langserve.client import RemoteRunnable
rag_app_ollama = RemoteRunnable("http://0.0.0.0:8001/rag_ollama_multi_query")
rag_app_ollama.invoke("What are the different type... | langchain/templates/rag-ollama-multi-query/rag_ollama_multi_query.ipynb/0 | {
"file_path": "langchain/templates/rag-ollama-multi-query/rag_ollama_multi_query.ipynb",
"repo_id": "langchain",
"token_count": 140
} | 681 |
# coding=utf-8
# Copyright 2018 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/modelcard.py/0 | {
"file_path": "transformers/src/transformers/modelcard.py",
"repo_id": "transformers",
"token_count": 15615
} | 639 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package proxy
import (
msgstream "github.com/milvus-io/milvus/pkg/mq/msgstream"
mock "github.com/stretchr/testify/mock"
)
// MockChannelsMgr is an autogenerated mock type for the channelsMgr type
type MockChannelsMgr struct {
mock.Mock
}
type MockChannelsMgr_Exp... | milvus/internal/proxy/mock_channels_manager.go/0 | {
"file_path": "milvus/internal/proxy/mock_channels_manager.go",
"repo_id": "milvus",
"token_count": 3159
} | 1,740 |
# 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/tests/utils/test_logging.py/0 | {
"file_path": "transformers/tests/utils/test_logging.py",
"repo_id": "transformers",
"token_count": 2007
} | 808 |
from collections import UserDict
from typing import List, Union
from ..utils import (
add_end_docstrings,
is_tf_available,
is_torch_available,
is_vision_available,
logging,
requires_backends,
)
from .base import Pipeline, build_pipeline_init_args
if is_vision_available():
from PIL import ... | transformers/src/transformers/pipelines/zero_shot_image_classification.py/0 | {
"file_path": "transformers/src/transformers/pipelines/zero_shot_image_classification.py",
"repo_id": "transformers",
"token_count": 2833
} | 728 |
"""Question answering over a graph."""
from __future__ import annotations
from typing import Any, Dict, List, Optional
from langchain_community.graphs.hugegraph import HugeGraph
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.language_models import BaseLanguageModel
from langchain_... | langchain/libs/langchain/langchain/chains/graph_qa/hugegraph.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/graph_qa/hugegraph.py",
"repo_id": "langchain",
"token_count": 1475
} | 458 |
# Macrometa GDN Loader
This loader takes in a Macrometa federation URL, API key, and collection name and returns a list of vectors.
## Usage
To use this loader, you need to pass the URL and API key through the class constructor, and then load the data using an array of collection names.
```python
from llama_index i... | llama_index/llama-index-integrations/readers/llama-index-readers-macrometa-gdn/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-macrometa-gdn/README.md",
"repo_id": "llama_index",
"token_count": 165
} | 1,374 |
"""Tracers that record execution of LangChain runs."""
from langchain_core.tracers.langchain import LangChainTracer
from langchain_core.tracers.langchain_v1 import LangChainTracerV1
from langchain_core.tracers.stdout import (
ConsoleCallbackHandler,
FunctionCallbackHandler,
)
from langchain.callbacks.tracers.... | langchain/libs/langchain/langchain/callbacks/tracers/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/callbacks/tracers/__init__.py",
"repo_id": "langchain",
"token_count": 195
} | 474 |
"""Bing Search API toolkit."""
from langchain_community.tools.bing_search.tool import BingSearchResults, BingSearchRun
__all__ = ["BingSearchRun", "BingSearchResults"]
| langchain/libs/community/langchain_community/tools/bing_search/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/bing_search/__init__.py",
"repo_id": "langchain",
"token_count": 51
} | 303 |
// 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/plan/PlanNode.h/0 | {
"file_path": "milvus/internal/core/src/plan/PlanNode.h",
"repo_id": "milvus",
"token_count": 2817
} | 1,650 |
# `tokenizers-linux-arm64-musl`
This is the **aarch64-unknown-linux-musl** binary for `tokenizers`
| tokenizers/bindings/node/npm/linux-arm64-musl/README.md/0 | {
"file_path": "tokenizers/bindings/node/npm/linux-arm64-musl/README.md",
"repo_id": "tokenizers",
"token_count": 37
} | 452 |
"""Structured store indices."""
from llama_index.core.indices.struct_store.json_query import JSONQueryEngine
from llama_index.core.indices.struct_store.pandas import (
GPTPandasIndex,
PandasIndex,
)
from llama_index.core.indices.struct_store.sql import (
GPTSQLStructStoreIndex,
SQLContextContainerBuild... | llama_index/llama-index-core/llama_index/core/indices/struct_store/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/struct_store/__init__.py",
"repo_id": "llama_index",
"token_count": 362
} | 1,267 |
python_tests()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-pinecone/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-pinecone/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,567 |
# Tonic Validate
## What is Tonic Validate
Tonic Validate is a tool for people developing retrieval augmented generation (RAG) systems to evaluate the performance of their system. You can use Tonic Validate for one-off spot checks of your LlamaIndex setup's performance or you can even use it inside an existing CI/CD ... | llama_index/docs/community/integrations/tonicvalidate.md/0 | {
"file_path": "llama_index/docs/community/integrations/tonicvalidate.md",
"repo_id": "llama_index",
"token_count": 3584
} | 1,100 |
"""**Vector store** stores embedded data and performs vector search.
One of the most common ways to store and search over unstructured data is to
embed it and store the resulting embedding vectors, and then query the store
and retrieve the data that are 'most similar' to the embedded query.
**Class hierarchy:**
.. c... | langchain/libs/langchain/langchain/vectorstores/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/__init__.py",
"repo_id": "langchain",
"token_count": 1118
} | 572 |
{
"name": "example-node",
"version": "1.0.0",
"description": "",
"main": "app.js",
"scripts": {
"test": "echo \"Error: no test specified\" && exit 1",
"dev": "node app.js",
"start": "node app.js",
"rebuild": "cd ../.. && yarn && yarn build && cd examples/node && rm -rf node_modules && yarn && ... | chroma/clients/js/examples/node/package.json/0 | {
"file_path": "chroma/clients/js/examples/node/package.json",
"repo_id": "chroma",
"token_count": 243
} | 30 |
---
sidebar_position: 1
title: Multiple chains
hide_table_of_contents: true
---
# Multiple chains
Runnables can be used to combine multiple Chains together:
<details>
<summary>Interactive tutorial</summary>
The screencast below interactively walks through an example. You can update and
run the code as it's bei... | langchainjs/docs/core_docs/docs/expression_language/cookbook/multiple_chains.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/expression_language/cookbook/multiple_chains.mdx",
"repo_id": "langchainjs",
"token_count": 536
} | 716 |
import { ChatOpenAI } from "@langchain/openai";
import { HumanMessage } from "@langchain/core/messages";
const chat = new ChatOpenAI({
streaming: true,
callbacks: [
{
handleLLMNewToken(token: string) {
process.stdout.write(token);
},
},
],
});
await chat.call([new HumanMessage("Write... | langchainjs/examples/src/models/chat/chat_streaming_stdout.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/chat_streaming_stdout.ts",
"repo_id": "langchainjs",
"token_count": 270
} | 797 |
import { z } from "zod";
import { ChatOpenAI } from "@langchain/openai";
import { Calculator } from "langchain/tools/calculator";
import { AgentExecutor } from "langchain/agents";
import { formatToOpenAIToolMessages } from "langchain/agents/format_scratchpad/openai_tools";
import { convertToOpenAITool } from "@langchai... | langchainjs/examples/src/agents/openai_tools_runnable.ts/0 | {
"file_path": "langchainjs/examples/src/agents/openai_tools_runnable.ts",
"repo_id": "langchainjs",
"token_count": 826
} | 758 |
"""Test BananaDev API wrapper."""
from langchain_community.llms.bananadev import Banana
def test_banana_call() -> None:
"""Test valid call to BananaDev."""
llm = Banana()
output = llm("Say foo:")
assert isinstance(output, str)
| langchain/libs/community/tests/integration_tests/llms/test_banana.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_banana.py",
"repo_id": "langchain",
"token_count": 86
} | 368 |
#!/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/test_utils/examples.py/0 | {
"file_path": "accelerate/src/accelerate/test_utils/examples.py",
"repo_id": "accelerate",
"token_count": 2735
} | 12 |
python_sources()
| llama_index/llama-index-integrations/question_gen/llama-index-question-gen-guidance/llama_index/question_gen/guidance/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/question_gen/llama-index-question-gen-guidance/llama_index/question_gen/guidance/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,323 |
from langchain_community.vectorstores.nucliadb import NucliaDB
__all__ = ["NucliaDB"]
| langchain/libs/langchain/langchain/vectorstores/nucliadb.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/nucliadb.py",
"repo_id": "langchain",
"token_count": 31
} | 577 |
from typing import Any, Dict, List, Mapping, Optional
import requests
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import Extra
from langchain_community.llms.utils import enforce_stop_tokens
class ContentHandlerAmaz... | langchain/libs/community/langchain_community/llms/amazon_api_gateway.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/amazon_api_gateway.py",
"repo_id": "langchain",
"token_count": 1218
} | 283 |
<jupyter_start><jupyter_text>Customizing Run Names[](https://colab.research.google.com/github/langchain-ai/langsmith-cookbook/blob/main/tracing-examples/runnable-naming/run-naming.ipynb)Every LangSmith run receives a name. This name is visible in the UI and can be employed later for querying a particular run. In the co... | langsmith-cookbook/tracing-examples/runnable-naming/run-naming.ipynb/0 | {
"file_path": "langsmith-cookbook/tracing-examples/runnable-naming/run-naming.ipynb",
"repo_id": "langsmith-cookbook",
"token_count": 1965
} | 1,043 |
// 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/pkg/util/paramtable/component_param_test.go/0 | {
"file_path": "milvus/pkg/util/paramtable/component_param_test.go",
"repo_id": "milvus",
"token_count": 6844
} | 1,848 |
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