text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
# Copyright 2020 The HuggingFace Datasets Authors.
#
# 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 ... | datasets/metrics/xnli/xnli.py/0 | {
"file_path": "datasets/metrics/xnli/xnli.py",
"repo_id": "datasets",
"token_count": 1107
} | 136 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-jira/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-jira/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,386 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/pipelines/wuerstchen/pipeline_wuerstchen_prior.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/wuerstchen/pipeline_wuerstchen_prior.py",
"repo_id": "diffusers",
"token_count": 10627
} | 269 |
# coding=utf-8
# Copyright 2020 The HuggingFace Team All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | transformers/examples/research_projects/mlm_wwm/run_mlm_wwm.py/0 | {
"file_path": "transformers/examples/research_projects/mlm_wwm/run_mlm_wwm.py",
"repo_id": "transformers",
"token_count": 7241
} | 567 |
from llama_index.finetuning.gradient import GradientFinetuneEngine
from llama_index.finetuning.types import BaseLLMFinetuneEngine
def test_class():
names_of_base_classes = [b.__name__ for b in GradientFinetuneEngine.__mro__]
assert BaseLLMFinetuneEngine.__name__ in names_of_base_classes
| llama_index/llama-index-finetuning/tests/gradient/test_gradient_classes.py/0 | {
"file_path": "llama_index/llama-index-finetuning/tests/gradient/test_gradient_classes.py",
"repo_id": "llama_index",
"token_count": 103
} | 1,256 |
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | accelerate/examples/inference/gpt2.py/0 | {
"file_path": "accelerate/examples/inference/gpt2.py",
"repo_id": "accelerate",
"token_count": 760
} | 10 |
from langchain_community.document_loaders.couchbase import CouchbaseLoader
__all__ = ["CouchbaseLoader"]
| langchain/libs/langchain/langchain/document_loaders/couchbase.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/couchbase.py",
"repo_id": "langchain",
"token_count": 31
} | 478 |
import { buildPrompt } from "$lib/buildPrompt";
import { textGenerationStream } from "@huggingface/inference";
import { z } from "zod";
import type { Endpoint } from "../endpoints";
export const endpointAwsParametersSchema = z.object({
weight: z.number().int().positive().default(1),
model: z.any(),
type: z.literal(... | chat-ui/src/lib/server/endpoints/aws/endpointAws.ts/0 | {
"file_path": "chat-ui/src/lib/server/endpoints/aws/endpointAws.ts",
"repo_id": "chat-ui",
"token_count": 558
} | 96 |
from nvidia_rag_canonical.chain import chain, ingest
__all__ = ["chain", "ingest"]
| langchain/templates/nvidia-rag-canonical/nvidia_rag_canonical/__init__.py/0 | {
"file_path": "langchain/templates/nvidia-rag-canonical/nvidia_rag_canonical/__init__.py",
"repo_id": "langchain",
"token_count": 28
} | 717 |
"""Palm API."""
import os
from typing import Any, Callable, Optional, Sequence
import google.generativeai as palm
from llama_index.core.base.llms.types import (
ChatMessage,
CompletionResponse,
CompletionResponseGen,
LLMMetadata,
)
from llama_index.core.bridge.pydantic import Field, PrivateAttr
from ll... | llama_index/llama-index-integrations/llms/llama-index-llms-palm/llama_index/llms/palm/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-palm/llama_index/llms/palm/base.py",
"repo_id": "llama_index",
"token_count": 1886
} | 1,241 |
# coding=utf-8
# Copyright 2022 SenseTime and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.... | transformers/src/transformers/models/deformable_detr/configuration_deformable_detr.py/0 | {
"file_path": "transformers/src/transformers/models/deformable_detr/configuration_deformable_detr.py",
"repo_id": "transformers",
"token_count": 5659
} | 588 |
import logging
from abc import ABC, abstractmethod
from typing import Any, Callable, Optional, Sequence
from llama_index.core.base.llms.types import ChatMessage
from llama_index.core.llms.generic_utils import (
prompt_to_messages,
)
from llama_index.llms.anthropic.utils import messages_to_anthropic_prompt
from lla... | llama_index/llama-index-integrations/llms/llama-index-llms-bedrock/llama_index/llms/bedrock/utils.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-bedrock/llama_index/llms/bedrock/utils.py",
"repo_id": "llama_index",
"token_count": 2507
} | 1,291 |
## 5. Proxy
<img src="./figs/proxy.png" width=700>
#### 5.0 Proxy Service Interface
```go
type ProxyService interface {
Component
TimeTickProvider
RegisterNode(ctx context.Context, request *proxypb.RegisterNodeRequest) (*proxypb.RegisterNodeResponse, error)
InvalidateCollectionMetaCache(ctx context.Context, req... | milvus/docs/developer_guides/chap05_proxy.md/0 | {
"file_path": "milvus/docs/developer_guides/chap05_proxy.md",
"repo_id": "milvus",
"token_count": 5920
} | 1,738 |
# Let's train and play with Huggy 🐶 [[train]]
<CourseFloatingBanner classNames="absolute z-10 right-0 top-0"
notebooks={[
{label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/deep-rl-class/blob/master/notebooks/bonus-unit1/bonus-unit1.ipynb"}
... | deep-rl-class/units/en/unitbonus1/train.mdx/0 | {
"file_path": "deep-rl-class/units/en/unitbonus1/train.mdx",
"repo_id": "deep-rl-class",
"token_count": 4009
} | 165 |
"""Init file."""
from llama_index.readers.apify.dataset.base import ApifyDataset
__all__ = ["ApifyDataset"]
| llama_index/llama-index-integrations/readers/llama-index-readers-apify/llama_index/readers/apify/dataset/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-apify/llama_index/readers/apify/dataset/__init__.py",
"repo_id": "llama_index",
"token_count": 44
} | 1,262 |
#![allow(clippy::excessive_precision)]
// Code taken from https://github.com/statrs-dev/statrs
//! Provides the [error](https://en.wikipedia.org/wiki/Error_function) and
//! related functions
mod evaluate {
//! Provides functions that don't have a numerical solution and must
//! be solved computationally (e.g.... | candle/candle-core/src/cpu/erf.rs/0 | {
"file_path": "candle/candle-core/src/cpu/erf.rs",
"repo_id": "candle",
"token_count": 11974
} | 34 |
try:
from pydantic.v1.dataclasses import * # noqa: F403
except ImportError:
from pydantic.dataclasses import * # noqa: F403
| langchain/libs/core/langchain_core/pydantic_v1/dataclasses.py/0 | {
"file_path": "langchain/libs/core/langchain_core/pydantic_v1/dataclasses.py",
"repo_id": "langchain",
"token_count": 53
} | 421 |
<jupyter_start><jupyter_text>CSV>A [comma-separated values (CSV)](https://en.wikipedia.org/wiki/Comma-separated_values) file is a delimited text file that uses a comma to separate values. Each line of the file is a data record. Each record consists of one or more fields, separated by commas.Load [csv](https://en.wikipe... | langchain/docs/docs/integrations/document_loaders/csv.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/csv.ipynb",
"repo_id": "langchain",
"token_count": 2450
} | 100 |
import os
from pathlib import Path
from typing import List, Dict, Optional, Tuple
from safetensors import safe_open, SafetensorError
import torch
from loguru import logger
from huggingface_hub import hf_hub_download
import json
from text_generation_server.utils.log import log_once
class Weights:
def __init__(
... | text-generation-inference/server/text_generation_server/utils/weights.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/utils/weights.py",
"repo_id": "text-generation-inference",
"token_count": 9541
} | 435 |
# LlamaIndex Tools Integration: Ionic Shopping
[Ionic](https://ioniccommerce.com) is a plug and play ecommerce marketplace for AI Assistants.
By including the Ionic Tool in your agent, you are effortlessly providing your users with the ability
to shop and transact directly within your agent, and you’ll get a cut of th... | llama_index/llama-index-integrations/tools/llama-index-tools-ionic-shopping/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-ionic-shopping/README.md",
"repo_id": "llama_index",
"token_count": 489
} | 1,621 |
<!--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/ja/model_doc/auto.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/auto.md",
"repo_id": "transformers",
"token_count": 3268
} | 480 |
import datetime
import logging
import time
from utils.util_log import test_log as logger
from utils.utils import gen_collection_name
import pytest
from api.milvus import CollectionClient
from base.testbase import TestBase
import threading
@pytest.mark.L0
class TestCreateCollection(TestBase):
@pytest.mark.paramet... | milvus/tests/restful_client/testcases/test_collection_operations.py/0 | {
"file_path": "milvus/tests/restful_client/testcases/test_collection_operations.py",
"repo_id": "milvus",
"token_count": 6276
} | 2,046 |
Data Connectors
===============
NOTE: Our data connectors are now offered through `LlamaHub <https://llamahub.ai/>`_ 🦙.
LlamaHub is an open-source repository containing data loaders that you can easily plug and play into any LlamaIndex application.
The following data connectors are still available in the core repo.
... | llama_index/docs/api_reference/readers.rst/0 | {
"file_path": "llama_index/docs/api_reference/readers.rst",
"repo_id": "llama_index",
"token_count": 113
} | 1,096 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.arango_db import SimpleArangoDBReader
def test_class():
names_of_base_classes = [b.__name__ for b in SimpleArangoDBReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-arango-db/tests/test_readers_arango_db.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-arango-db/tests/test_readers_arango_db.py",
"repo_id": "llama_index",
"token_count": 94
} | 1,320 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["LiteLLM"]
contains_example = false
import_path = "llama_index.llms.litellm"
[tool.mypy]
... | llama_index/llama-index-integrations/llms/llama-index-llms-litellm/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-litellm/pyproject.toml",
"repo_id": "llama_index",
"token_count": 651
} | 1,301 |
search_performance:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_gpu/sift_50m_1024_128_l2_sq8
cache_config.cpu_cache_capacity: 32
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: false
... | milvus/tests/benchmark/milvus_benchmark/suites/cpu_search_performance_sift50m.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/cpu_search_performance_sift50m.yaml",
"repo_id": "milvus",
"token_count": 338
} | 1,974 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2021 The HuggingFace Team All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-... | transformers/examples/pytorch/question-answering/run_seq2seq_qa.py/0 | {
"file_path": "transformers/examples/pytorch/question-answering/run_seq2seq_qa.py",
"repo_id": "transformers",
"token_count": 13528
} | 551 |
<!--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... | accelerate/docs/source/usage_guides/big_modeling.md/0 | {
"file_path": "accelerate/docs/source/usage_guides/big_modeling.md",
"repo_id": "accelerate",
"token_count": 1765
} | 4 |
"use client";
import { ChatWindow } from "../app/components/ChatWindow";
import { ToastContainer } from "react-toastify";
import { ChakraProvider } from "@chakra-ui/react";
export default function Home() {
return (
<ChakraProvider>
<ToastContainer />
<ChatWindow
apiBaseUrl={
proce... | weblangchain/nextjs/app/page.tsx/0 | {
"file_path": "weblangchain/nextjs/app/page.tsx",
"repo_id": "weblangchain",
"token_count": 217
} | 2,065 |
"""Util that calls Outline."""
import logging
from typing import Any, Dict, List, Optional
import requests
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import BaseModel, root_validator
from langchain_core.utils import get_from_dict_or_env
logger = logging.getLogger(__name__)
OUTLINE_... | langchain/libs/community/langchain_community/utilities/outline.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/outline.py",
"repo_id": "langchain",
"token_count": 1449
} | 302 |
from llama_index.vector_stores.timescalevector.base import TimescaleVectorStore
__all__ = ["TimescaleVectorStore"]
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-timescalevector/llama_index/vector_stores/timescalevector/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-timescalevector/llama_index/vector_stores/timescalevector/__init__.py",
"repo_id": "llama_index",
"token_count": 33
} | 1,543 |
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import PIL.Image
from ...utils import (
BaseOutput,
)
@dataclass
class StableDiffusionSafePipelineOutput(BaseOutput):
"""
Output class for Safe Stable Diffusion pipelines.
Args:
images (`List[PIL.I... | diffusers/src/diffusers/pipelines/stable_diffusion_safe/pipeline_output.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion_safe/pipeline_output.py",
"repo_id": "diffusers",
"token_count": 527
} | 252 |
import json
import os
from typing import Any, List, Literal
from llama_index.vector_stores.docarray.base import DocArrayVectorStore
class DocArrayHnswVectorStore(DocArrayVectorStore):
"""Class representing a DocArray HNSW vector store.
This class is a lightweight Document Index implementation provided by Do... | llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-docarray/llama_index/vector_stores/docarray/hnsw.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-docarray/llama_index/vector_stores/docarray/hnsw.py",
"repo_id": "llama_index",
"token_count": 1958
} | 1,554 |
import { test, expect } from "@jest/globals";
import { LLMResult } from "@langchain/core/outputs";
import { StringPromptValue } from "@langchain/core/prompt_values";
import { CallbackManager } from "@langchain/core/callbacks/manager";
import { NewTokenIndices } from "@langchain/core/callbacks/base";
import { ClientSecr... | langchainjs/libs/langchain-azure-openai/src/tests/llms.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-azure-openai/src/tests/llms.int.test.ts",
"repo_id": "langchainjs",
"token_count": 3267
} | 944 |
<jupyter_start><jupyter_text>Google Vertex AI Vector SearchThis notebook shows how to use functionality related to the `Google Cloud Vertex AI Vector Search` vector database.> [Google Vertex AI Vector Search](https://cloud.google.com/vertex-ai/docs/matching-engine/overview), formerly known as Vertex AI Matching Engine,... | langchain/docs/docs/integrations/vectorstores/google_vertex_ai_vector_search.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/google_vertex_ai_vector_search.ipynb",
"repo_id": "langchain",
"token_count": 1961
} | 188 |
# Installation
Before you start, you'll need to setup your environment and install the appropriate packages. 🤗 Datasets is tested on **Python 3.7+**.
<Tip>
If you want to use 🤗 Datasets with TensorFlow or PyTorch, you'll need to install them separately. Refer to the [TensorFlow installation page](https://www.tenso... | datasets/docs/source/installation.md/0 | {
"file_path": "datasets/docs/source/installation.md",
"repo_id": "datasets",
"token_count": 1236
} | 123 |
from unittest.mock import Mock
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.llms.types import ChatMessage, MessageRole
from llama_index.core.base.response.schema import Response
from llama_index.core.chat_engine.condense_question import (
CondenseQuestionChatEngine... | llama_index/llama-index-core/tests/chat_engine/test_condense_question.py/0 | {
"file_path": "llama_index/llama-index-core/tests/chat_engine/test_condense_question.py",
"repo_id": "llama_index",
"token_count": 735
} | 1,148 |
python_sources()
python_tests(
name="tests",
dependencies=["llama-index-core/tests/indices/query/query_transform/__init__.py", "llama-index-core/tests/indices/query/query_transform:query_transform"]
)
| llama_index/llama-index-core/tests/indices/query/query_transform/BUILD/0 | {
"file_path": "llama_index/llama-index-core/tests/indices/query/query_transform/BUILD",
"repo_id": "llama_index",
"token_count": 76
} | 1,313 |
# 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... | trl/tests/slow/test_sft_slow.py/0 | {
"file_path": "trl/tests/slow/test_sft_slow.py",
"repo_id": "trl",
"token_count": 7186
} | 812 |
import { SqlDatabase } from "langchain/sql_db";
import { DataSource } from "typeorm";
const datasource = new DataSource({
type: "sqlite",
database: "../../../../Chinook.db",
});
export const db = await SqlDatabase.fromDataSourceParams({
appDataSource: datasource,
});
| langchainjs/examples/src/use_cases/sql/db.ts/0 | {
"file_path": "langchainjs/examples/src/use_cases/sql/db.ts",
"repo_id": "langchainjs",
"token_count": 89
} | 821 |
<jupyter_start><jupyter_text>Run TemplateIn `server.py`, set -```add_routes(app, chain_rag_conv, path="/rag-gemini-multi-modal")```<jupyter_code>from langserve.client import RemoteRunnable
rag_app = RemoteRunnable("http://localhost:8001/rag-gemini-multi-modal")
rag_app.invoke("What is the projected TAM for observabili... | langchain/templates/rag-gemini-multi-modal/rag_gemini_multi_modal.ipynb/0 | {
"file_path": "langchain/templates/rag-gemini-multi-modal/rag_gemini_multi_modal.ipynb",
"repo_id": "langchain",
"token_count": 138
} | 715 |
[package]
name = "worker"
version = "0.1.0"
edition = "2021"
[[bin]]
name = "worker"
path = "src/bin/worker.rs"
[dependencies]
tonic = "0.10"
prost = "0.12"
prost-types = "0.12"
tokio = { version = "1.0", features = ["macros", "rt-multi-thread"] }
tokio-util = "0.7.10"
rand = "0.8.5"
rayon = "1.8.0"
async-trait = "0.... | chroma/rust/worker/Cargo.toml/0 | {
"file_path": "chroma/rust/worker/Cargo.toml",
"repo_id": "chroma",
"token_count": 504
} | 59 |
"""Load html from files, clean up, split, ingest into Weaviate."""
import logging
import os
import re
from parser import langchain_docs_extractor
import weaviate
from bs4 import BeautifulSoup, SoupStrainer
from langchain.document_loaders import RecursiveUrlLoader, SitemapLoader
from langchain.indexes import SQLRecordM... | chat-langchain/ingest.py/0 | {
"file_path": "chat-langchain/ingest.py",
"repo_id": "chat-langchain",
"token_count": 2295
} | 8 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/unittest/test_scalar_index_creator.cpp/0 | {
"file_path": "milvus/internal/core/unittest/test_scalar_index_creator.cpp",
"repo_id": "milvus",
"token_count": 2159
} | 1,905 |
import { expect, test } from "@jest/globals";
import chroma from "./initClient";
import { IDS, EMBEDDINGS } from "./data";
test("it should peek a collection", async () => {
await chroma.reset();
const collection = await chroma.createCollection({ name: "test" });
await collection.add({ ids: IDS, embeddings: EMBED... | chroma/clients/js/test/peek.collection.test.ts/0 | {
"file_path": "chroma/clients/js/test/peek.collection.test.ts",
"repo_id": "chroma",
"token_count": 190
} | 32 |
python_sources()
| llama_index/llama-index-integrations/llms/llama-index-llms-llama-api/llama_index/llms/llama_api/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-llama-api/llama_index/llms/llama_api/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,302 |
<jupyter_start><jupyter_text>ClientDemo of a client interacting with a custom runnable executor that supports configuration.This server does not support invoke or batch! only stream and astream log! (see backend code.)The underlying backend code is just a demo in this case -- it's working around an existing bug, but us... | langserve/examples/configurable_agent_executor/client.ipynb/0 | {
"file_path": "langserve/examples/configurable_agent_executor/client.ipynb",
"repo_id": "langserve",
"token_count": 1308
} | 1,081 |
// 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/rootcoord/undo_test.go/0 | {
"file_path": "milvus/internal/rootcoord/undo_test.go",
"repo_id": "milvus",
"token_count": 1455
} | 1,886 |
# https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-23-11.html#rel-23-11
FROM nvcr.io/nvidia/pytorch:23.11-py3
LABEL maintainer="Hugging Face"
ARG DEBIAN_FRONTEND=noninteractive
# Example: `cu102`, `cu113`, etc.
ARG CUDA='cu121'
RUN apt -y update
RUN apt install -y libaio-dev
RUN python3 -m p... | transformers/docker/transformers-pytorch-deepspeed-nightly-gpu/Dockerfile/0 | {
"file_path": "transformers/docker/transformers-pytorch-deepspeed-nightly-gpu/Dockerfile",
"repo_id": "transformers",
"token_count": 1028
} | 490 |
simple_chaos:
collections:
-
milvus: null
before:
-
interface_name: create_collection
params:
data_type: local
dimension: 128
-
interface_name: insert
params:
batch_size: 5000
collection_size: 100... | milvus/tests/benchmark/milvus_benchmark/suites/flush_kill_query_pod.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/flush_kill_query_pod.yaml",
"repo_id": "milvus",
"token_count": 627
} | 2,152 |
export type ChatWindowMessage = {
content: string;
role: "human" | "ai";
runId?: string;
traceUrl?: string;
}
| langsmith-cookbook/feedback-examples/nextjs/schema/ChatWindowMessage.ts/0 | {
"file_path": "langsmith-cookbook/feedback-examples/nextjs/schema/ChatWindowMessage.ts",
"repo_id": "langsmith-cookbook",
"token_count": 41
} | 1,137 |
from llama_index.readers.slack.base import SlackReader
__all__ = ["SlackReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-slack/llama_index/readers/slack/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-slack/llama_index/readers/slack/__init__.py",
"repo_id": "llama_index",
"token_count": 28
} | 1,380 |
<jupyter_start><jupyter_text>Exploring simple optimizations for Stable Diffusion XL<jupyter_code>!nvidia-smi
!pip install git+https://github.com/huggingface/diffusers -q
!pip install transformers accelerate -q<jupyter_output><empty_output><jupyter_text>Unoptimized setup* FP32 computation* Default attention processor<ju... | notebooks/diffusers/exploring_simple optimizations_for_sdxl.ipynb/0 | {
"file_path": "notebooks/diffusers/exploring_simple optimizations_for_sdxl.ipynb",
"repo_id": "notebooks",
"token_count": 3443
} | 276 |
// 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/rootcoord/scheduler_test.go/0 | {
"file_path": "milvus/internal/rootcoord/scheduler_test.go",
"repo_id": "milvus",
"token_count": 2388
} | 1,856 |
<jupyter_start><jupyter_text>Tout assembler (PyTorch) Installez la bibliothèque 🤗 *Transformers* pour exécuter ce *notebook*.<jupyter_code>!pip install transformers[sentencepiece]
from transformers import AutoTokenizer
checkpoint = "tblard/tf-allocine"
tokenizer = AutoTokenizer.from_pretrained(checkpoint)
sequence =... | notebooks/course/fr/chapter2/section6_pt.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter2/section6_pt.ipynb",
"repo_id": "notebooks",
"token_count": 974
} | 307 |
# Ollama Query Engine Pack
Create a query engine using completely local by Ollama
## CLI Usage
You can download llamapacks directly using `llamaindex-cli`, which comes installed with the `llama-index` python package:
```bash
llamaindex-cli download-llamapack OllamaQueryEnginePack --download-dir ./ollama_pack
```
Y... | llama_index/llama-index-packs/llama-index-packs-ollama-query-engine/README.md/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-ollama-query-engine/README.md",
"repo_id": "llama_index",
"token_count": 431
} | 1,714 |
import re
import tempfile
from pathlib import Path
import pytest
import yaml
from datasets.utils.readme import ReadMe
# @pytest.fixture
# def example_yaml_structure():
example_yaml_structure = yaml.safe_load(
"""\
name: ""
allow_empty: false
allow_empty_text: true
subsections:
- name: "Dataset Card for X" #... | datasets/tests/test_readme_util.py/0 | {
"file_path": "datasets/tests/test_readme_util.py",
"repo_id": "datasets",
"token_count": 6733
} | 156 |
import { SignatureV4 } from "@smithy/signature-v4";
import { HttpRequest } from "@smithy/protocol-http";
import { EventStreamCodec } from "@smithy/eventstream-codec";
import { fromUtf8, toUtf8 } from "@smithy/util-utf8";
import { Sha256 } from "@aws-crypto/sha256-js";
import { getEnvironmentVariable } from "@langchai... | langchainjs/libs/langchain-community/src/llms/bedrock/web.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/llms/bedrock/web.ts",
"repo_id": "langchainjs",
"token_count": 4329
} | 1,000 |
// 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/IndexConfigGenerator.h/0 | {
"file_path": "milvus/internal/core/src/segcore/IndexConfigGenerator.h",
"repo_id": "milvus",
"token_count": 813
} | 1,934 |
import time
import copy
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.build")
class BuildRunner(BaseRunner):
"""run build"""
name = "build_performance"
... | milvus/tests/benchmark/milvus_benchmark/runners/build.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/runners/build.py",
"repo_id": "milvus",
"token_count": 1859
} | 2,135 |
// 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/importv2/util.go/0 | {
"file_path": "milvus/internal/datanode/importv2/util.go",
"repo_id": "milvus",
"token_count": 2967
} | 1,921 |
from typing import cast
from llama_index.core.readers.loading import load_reader
from llama_index.core.readers.string_iterable import StringIterableReader
def test_loading_readers() -> None:
string_iterable = StringIterableReader()
string_iterable_dict = string_iterable.to_dict()
loaded_string_iterable... | llama_index/llama-index-core/tests/readers/test_load_reader.py/0 | {
"file_path": "llama_index/llama-index-core/tests/readers/test_load_reader.py",
"repo_id": "llama_index",
"token_count": 157
} | 1,275 |
# coding=utf-8
# Copyright 2022, Google and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
... | transformers/src/transformers/models/pegasus_x/configuration_pegasus_x.py/0 | {
"file_path": "transformers/src/transformers/models/pegasus_x/configuration_pegasus_x.py",
"repo_id": "transformers",
"token_count": 3272
} | 677 |
"""Test embedding integrations."""
| langchain/libs/community/tests/integration_tests/embeddings/__init__.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/embeddings/__init__.py",
"repo_id": "langchain",
"token_count": 9
} | 329 |
# PDF
> [Portable Document Format (PDF)](https://en.wikipedia.org/wiki/PDF), standardized as ISO 32000, is a file format developed by Adobe in 1992 to present documents, including text formatting and images, in a manner independent of application software, hardware, and operating systems.
This covers how to load `PDF... | langchainjs/docs/core_docs/docs/modules/data_connection/document_loaders/pdf.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/data_connection/document_loaders/pdf.mdx",
"repo_id": "langchainjs",
"token_count": 835
} | 754 |
use crate::arc_rwlock_serde;
use serde::{Deserialize, Serialize};
extern crate tokenizers as tk;
use napi::bindgen_prelude::*;
use napi_derive::napi;
use std::sync::{Arc, RwLock};
use tk::decoders::DecoderWrapper;
/// Decoder
#[derive(Clone, Serialize, Deserialize)]
#[napi]
pub struct Decoder {
#[serde(flatten, wi... | tokenizers/bindings/node/src/decoders.rs/0 | {
"file_path": "tokenizers/bindings/node/src/decoders.rs",
"repo_id": "tokenizers",
"token_count": 1821
} | 457 |
# coding=utf-8
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | transformers/tests/models/xlm/test_tokenization_xlm.py/0 | {
"file_path": "transformers/tests/models/xlm/test_tokenization_xlm.py",
"repo_id": "transformers",
"token_count": 1506
} | 826 |
<jupyter_start><jupyter_text>AINetwork>[AI Network](https://www.ainetwork.ai/build-on-ain) is a layer 1 blockchain designed to accommodate large-scale AI models, utilizing a decentralized GPU network powered by the [$AIN token](https://www.ainetwork.ai/token), enriching AI-driven `NFTs` (`AINFTs`).>>The `AINetwork Tool... | langchain/docs/docs/integrations/toolkits/ainetwork.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/toolkits/ainetwork.ipynb",
"repo_id": "langchain",
"token_count": 3970
} | 167 |
from llama_index.packs.rag_evaluator.base import RagEvaluatorPack
__all__ = ["RagEvaluatorPack"]
| llama_index/llama-index-packs/llama-index-packs-rag-evaluator/llama_index/packs/rag_evaluator/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-rag-evaluator/llama_index/packs/rag_evaluator/__init__.py",
"repo_id": "llama_index",
"token_count": 38
} | 1,689 |
{
"model_type": "roberta"
} | transformers/tests/fixtures/dummy-config.json/0 | {
"file_path": "transformers/tests/fixtures/dummy-config.json",
"repo_id": "transformers",
"token_count": 15
} | 698 |
import { unstable_dev } from "wrangler";
import type { UnstableDevWorker } from "wrangler";
import { describe, expect, it, beforeAll, afterAll } from "vitest";
describe("Worker", () => {
let worker: UnstableDevWorker;
beforeAll(async () => {
worker = await unstable_dev("src/index.ts", {
experimental: { ... | langchainjs/environment_tests/test-exports-cf/src/index.int.test.ts/0 | {
"file_path": "langchainjs/environment_tests/test-exports-cf/src/index.int.test.ts",
"repo_id": "langchainjs",
"token_count": 243
} | 782 |
build_performance:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_011/sift_50m_128_l2_pq
cache_config.cpu_cache_capacity: 8GB
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: true
gpu... | milvus/tests/benchmark/milvus_benchmark/suites/011_gpu_build_sift50m.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/011_gpu_build_sift50m.yaml",
"repo_id": "milvus",
"token_count": 1259
} | 1,874 |
package notification
import (
"context"
"reflect"
"testing"
"github.com/chroma/chroma-coordinator/internal/model"
)
func TestMemoryNotificationStore_GetAllPendingNotifications(t *testing.T) {
// Create a new MemoryNotificationStore
store := NewMemoryNotificationStore()
// Create some test notifications
noti... | chroma/go/coordinator/internal/notification/memory_notification_store_test.go/0 | {
"file_path": "chroma/go/coordinator/internal/notification/memory_notification_store_test.go",
"repo_id": "chroma",
"token_count": 1494
} | 50 |
<jupyter_start><jupyter_text>Chat Bot Evaluation as Multi-agent SimulationWhen building a chat bot, such as a customer support assistant, it can be hard to properly evalute your bot's performance. It's time-consuming to have to manually interact with it intensively for each code change.One way to make the evaluation pr... | langgraph/examples/chatbot-simulation-evaluation/agent-simulation-evaluation.ipynb/0 | {
"file_path": "langgraph/examples/chatbot-simulation-evaluation/agent-simulation-evaluation.ipynb",
"repo_id": "langgraph",
"token_count": 2572
} | 1,029 |
import { Index } from "@upstash/vector";
import { OpenAIEmbeddings } from "@langchain/openai";
import { UpstashVectorStore } from "@langchain/community/vectorstores/upstash";
const index = new Index({
url: process.env.UPSTASH_VECTOR_REST_URL as string,
token: process.env.UPSTASH_VECTOR_REST_TOKEN as string,
});
c... | langchainjs/examples/src/indexes/vector_stores/upstash/delete_docs.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/upstash/delete_docs.ts",
"repo_id": "langchainjs",
"token_count": 341
} | 854 |
export * from "./base.js";
export * from "./conditional.js";
export * from "./length_based.js";
export * from "./semantic_similarity.js";
| langchainjs/langchain-core/src/example_selectors/index.ts/0 | {
"file_path": "langchainjs/langchain-core/src/example_selectors/index.ts",
"repo_id": "langchainjs",
"token_count": 47
} | 861 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ko/quicktour.md/0 | {
"file_path": "transformers/docs/source/ko/quicktour.md",
"repo_id": "transformers",
"token_count": 17505
} | 561 |
import { CohereEmbeddings } from "@langchain/cohere";
import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
import { PromptTemplate } from "@langchain/core/prompts";
import { StringOutputParser } from "@langchain/core/output_parsers";
import {
RunnablePassthrough,
RunnableSequence,
} from "@langchain... | langchainjs/examples/src/guides/expression_language/runnable_maps_sequence.ts/0 | {
"file_path": "langchainjs/examples/src/guides/expression_language/runnable_maps_sequence.ts",
"repo_id": "langchainjs",
"token_count": 389
} | 842 |
import os
# Temporary handling of environment variables for testing
os.environ["REDIS_URL"] = "redis://localhost:6379/3"
os.environ["OPENAI_API_KEY"] = "test"
os.environ["YDC_API_KEY"] = "test"
os.environ["TAVILY_API_KEY"] = "test"
| opengpts/backend/tests/unit_tests/conftest.py/0 | {
"file_path": "opengpts/backend/tests/unit_tests/conftest.py",
"repo_id": "opengpts",
"token_count": 89
} | 2,138 |
# coding=utf-8
# Copyright 2022 Meta Platforms, Inc.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/mask2former/configuration_mask2former.py/0 | {
"file_path": "transformers/src/transformers/models/mask2former/configuration_mask2former.py",
"repo_id": "transformers",
"token_count": 4898
} | 628 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/led.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/led.md",
"repo_id": "transformers",
"token_count": 1602
} | 464 |
from langchain_community.embeddings.baidu_qianfan_endpoint import (
QianfanEmbeddingsEndpoint,
)
__all__ = ["QianfanEmbeddingsEndpoint"]
| langchain/libs/langchain/langchain/embeddings/baidu_qianfan_endpoint.py/0 | {
"file_path": "langchain/libs/langchain/langchain/embeddings/baidu_qianfan_endpoint.py",
"repo_id": "langchain",
"token_count": 53
} | 522 |
import { test } from "@jest/globals";
import { ChatOpenAI } from "@langchain/openai";
import { createOpenAPIChain } from "../openapi.js";
test("OpenAPI chain with a provided full spec", async () => {
const chain = await createOpenAPIChain(
{
openapi: "3.0.1",
info: { version: "v0", title: "Open AI K... | langchainjs/langchain/src/chains/openai_functions/tests/openapi.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/openai_functions/tests/openapi.int.test.ts",
"repo_id": "langchainjs",
"token_count": 2737
} | 863 |
from typing import Optional, Union, Sequence, Dict, Mapping, List
from typing_extensions import Literal, TypedDict, TypeVar
from uuid import UUID
from enum import Enum
Metadata = Mapping[str, Union[str, int, float, bool]]
UpdateMetadata = Mapping[str, Union[int, float, str, bool, None]]
# Namespaced Names are mecha... | chroma/chromadb/types.py/0 | {
"file_path": "chroma/chromadb/types.py",
"repo_id": "chroma",
"token_count": 1643
} | 27 |
# coding=utf-8
# 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 ap... | transformers/src/transformers/hyperparameter_search.py/0 | {
"file_path": "transformers/src/transformers/hyperparameter_search.py",
"repo_id": "transformers",
"token_count": 1646
} | 597 |
import { loadEvaluator } from "langchain/evaluation";
import { FakeEmbeddings } from "@langchain/core/utils/testing";
const chain = await loadEvaluator("embedding_distance");
const res = await chain.evaluateStrings({
prediction: "I shall go",
reference: "I shan't go",
});
console.log({ res });
/*
{ res: { score... | langchainjs/examples/src/guides/evaluation/string/embedding_distance.ts/0 | {
"file_path": "langchainjs/examples/src/guides/evaluation/string/embedding_distance.ts",
"repo_id": "langchainjs",
"token_count": 478
} | 806 |
"""Test SQL Database Chain."""
from langchain_community.llms.openai import OpenAI
from langchain_community.utilities.sql_database import SQLDatabase
from sqlalchemy import Column, Integer, MetaData, String, Table, create_engine, insert
from langchain_experimental.sql.base import (
SQLDatabaseChain,
SQLDatabase... | langchain/libs/experimental/tests/integration_tests/chains/test_sql_database.py/0 | {
"file_path": "langchain/libs/experimental/tests/integration_tests/chains/test_sql_database.py",
"repo_id": "langchain",
"token_count": 1236
} | 428 |
from langchain_core.vectorstores import VectorStore
from langchain import vectorstores
def test_all_imports() -> None:
"""Simple test to make sure all things can be imported."""
for cls in vectorstores.__all__:
if cls not in [
"AlibabaCloudOpenSearchSettings",
"ClickhouseSetti... | langchain/libs/langchain/tests/unit_tests/vectorstores/test_imports.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/vectorstores/test_imports.py",
"repo_id": "langchain",
"token_count": 172
} | 657 |
# XML Loader
This loader extracts the text from a local XML file. A single local file is passed in each time you call `load_data`.
## Usage
To use this loader, you need to pass in a `Path` to a local file.
```python
from pathlib import Path
from llama_index import download_loader
XMLReader = download_loader("XMLRe... | llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/xml/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/xml/README.md",
"repo_id": "llama_index",
"token_count": 233
} | 1,297 |
import type { BaseLanguageModelInterface } from "@langchain/core/language_models/base";
import type { VectorStoreInterface } from "@langchain/core/vectorstores";
import { ToolInterface } from "@langchain/core/tools";
import { Toolkit } from "@langchain/community/agents/toolkits/base";
import { VectorStoreQATool } from ... | langchainjs/langchain/src/agents/toolkits/vectorstore/vectorstore.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/toolkits/vectorstore/vectorstore.ts",
"repo_id": "langchainjs",
"token_count": 1509
} | 874 |
{
"name": "",
"short_name": "",
"icons": [
{
"src": "/android-chrome-192x192.png",
"sizes": "192x192",
"type": "image/png"
},
{
"src": "/android-chrome-512x512.png",
"sizes": "512x512",
"type": "image/png"
}
],
"theme... | auto-evaluator/nextjs/public/favicon/site.webmanifest/0 | {
"file_path": "auto-evaluator/nextjs/public/favicon/site.webmanifest",
"repo_id": "auto-evaluator",
"token_count": 222
} | 4 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["GitHubIssuesClient", "GitHubRepositoryCollaboratorsReader", "GitHubRepositoryIssuesReader... | llama_index/llama-index-integrations/readers/llama-index-readers-github/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-github/pyproject.toml",
"repo_id": "llama_index",
"token_count": 752
} | 1,305 |
import { Client, ClientOptions } from "@elastic/elasticsearch";
import { OpenAI, OpenAIEmbeddings } from "@langchain/openai";
import { VectorDBQAChain } from "langchain/chains";
import {
ElasticClientArgs,
ElasticVectorSearch,
} from "@langchain/community/vectorstores/elasticsearch";
import { Document } from "@lan... | langchainjs/examples/src/indexes/vector_stores/elasticsearch/elasticsearch.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/elasticsearch/elasticsearch.ts",
"repo_id": "langchainjs",
"token_count": 1159
} | 813 |
import unittest
import pytest
from langchain_community.document_loaders.parsers.language.csharp import CSharpSegmenter
@pytest.mark.requires("tree_sitter", "tree_sitter_languages")
class TestCSharpSegmenter(unittest.TestCase):
def setUp(self) -> None:
self.example_code = """namespace World
{
}
class He... | langchain/libs/community/tests/unit_tests/document_loaders/parsers/language/test_csharp.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/parsers/language/test_csharp.py",
"repo_id": "langchain",
"token_count": 861
} | 396 |
// eslint-disable-next-line import/no-extraneous-dependencies
import validateProjectName from "validate-npm-package-name";
export function validateNpmName(name: string): {
valid: boolean;
problems?: string[];
} {
const nameValidation = validateProjectName(name);
if (nameValidation.validForNewPackages) {
re... | langchainjs/libs/create-langchain-integration/helpers/validate-pkg.ts/0 | {
"file_path": "langchainjs/libs/create-langchain-integration/helpers/validate-pkg.ts",
"repo_id": "langchainjs",
"token_count": 171
} | 927 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/roformer/convert_roformer_original_tf_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/roformer/convert_roformer_original_tf_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 776
} | 715 |
# coding=utf-8
# Copyright 2022 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | transformers/tests/models/mobilenet_v2/test_image_processing_mobilenet_v2.py/0 | {
"file_path": "transformers/tests/models/mobilenet_v2/test_image_processing_mobilenet_v2.py",
"repo_id": "transformers",
"token_count": 1544
} | 813 |
from __future__ import annotations
from typing import Sequence
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import BasePromptTemplate
from langchain_core.runnables import Runnable, RunnablePassthrough
from langchain_core.tools import BaseTool
from langchain.agents.format_s... | langchain/libs/langchain/langchain/agents/react/agent.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/react/agent.py",
"repo_id": "langchain",
"token_count": 1563
} | 489 |
# 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/adalora/model.py/0 | {
"file_path": "peft/src/peft/tuners/adalora/model.py",
"repo_id": "peft",
"token_count": 7189
} | 323 |
# PPO Trainer
TRL supports the [PPO](https://arxiv.org/abs/1707.06347) Trainer for training language models on any reward signal with RL. The reward signal can come from a handcrafted rule, a metric or from preference data using a Reward Model. For a full example have a look at [`examples/notebooks/gpt2-sentiment.ipyn... | trl/docs/source/ppo_trainer.mdx/0 | {
"file_path": "trl/docs/source/ppo_trainer.mdx",
"repo_id": "trl",
"token_count": 2114
} | 878 |
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