text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
# Copyright 2020 The HuggingFace 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 agreed to... | datasets/src/datasets/formatting/formatting.py/0 | {
"file_path": "datasets/src/datasets/formatting/formatting.py",
"repo_id": "datasets",
"token_count": 10729
} | 140 |
- sections:
- local: index
title: 🤗 Datasets
- local: quickstart
title: Quickstart
- local: installation
title: Installation
title: Get started
- sections:
- local: tutorial
title: Overview
- local: load_hub
title: Load a dataset from the Hub
- local: access
title: Know your data... | datasets/docs/source/_toctree.yml/0 | {
"file_path": "datasets/docs/source/_toctree.yml",
"repo_id": "datasets",
"token_count": 1247
} | 118 |
# 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/deepspeed/test_deepspeed.py/0 | {
"file_path": "transformers/tests/deepspeed/test_deepspeed.py",
"repo_id": "transformers",
"token_count": 25392
} | 763 |
from llama_index.legacy.storage.chat_store.base import BaseChatStore
from llama_index.legacy.storage.chat_store.redis_chat_store import RedisChatStore
from llama_index.legacy.storage.chat_store.simple_chat_store import SimpleChatStore
__all__ = ["BaseChatStore", "SimpleChatStore", "RedisChatStore"]
| llama_index/llama-index-legacy/llama_index/legacy/storage/chat_store/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/storage/chat_store/__init__.py",
"repo_id": "llama_index",
"token_count": 95
} | 1,773 |
"""Test text splitter."""
import os
from typing import List
from llama_index.core.schema import Document, MetadataMode, TextNode
from llama_index.core.text_splitter import CodeSplitter
def test_python_code_splitter() -> None:
"""Test case for code splitting using python."""
if "CI" in os.environ:
ret... | llama_index/llama-index-core/tests/text_splitter/test_code_splitter.py/0 | {
"file_path": "llama_index/llama-index-core/tests/text_splitter/test_code_splitter.py",
"repo_id": "llama_index",
"token_count": 1881
} | 1,329 |
# -*- coding: utf-8 -*-
import inspect
from typing import Optional, Union
import numpy as np
import PIL.Image
import torch
from torch.nn import functional as F
from torchvision import transforms
from transformers import CLIPFeatureExtractor, CLIPModel, CLIPTextModel, CLIPTokenizer
from diffusers import (
Autoenco... | diffusers/examples/community/clip_guided_images_mixing_stable_diffusion.py/0 | {
"file_path": "diffusers/examples/community/clip_guided_images_mixing_stable_diffusion.py",
"repo_id": "diffusers",
"token_count": 8926
} | 185 |
# langchain-astradb
This package contains the LangChain integrations for using DataStax Astra DB.
> DataStax [Astra DB](https://docs.datastax.com/en/astra/home/astra.html) is a serverless vector-capable database built on Apache Cassandra® and made conveniently available
> through an easy-to-use JSON API.
_**Note.** ... | langchain/libs/partners/astradb/README.md/0 | {
"file_path": "langchain/libs/partners/astradb/README.md",
"repo_id": "langchain",
"token_count": 336
} | 624 |
from importlib.util import find_spec
from unittest.mock import MagicMock
import pytest
from llama_index.legacy.bridge.pydantic import BaseModel
from llama_index.legacy.core.llms.types import CompletionResponse
from llama_index.legacy.llms.huggingface import HuggingFaceLLM
from llama_index.legacy.program.lmformatenforc... | llama_index/llama-index-legacy/tests/program/test_lmformatenforcer.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/program/test_lmformatenforcer.py",
"repo_id": "llama_index",
"token_count": 422
} | 1,563 |
<!--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/ko/llm_tutorial.md/0 | {
"file_path": "transformers/docs/source/ko/llm_tutorial.md",
"repo_id": "transformers",
"token_count": 8185
} | 502 |
import threading
import pytest
import os
import time
import json
from time import sleep
from pathlib import Path
from minio import Minio
from pymilvus import connections
from chaos.checker import (BulkInsertChecker, Op)
from common.cus_resource_opts import CustomResourceOperations as CusResource
from common.milvus_sy... | milvus/tests/python_client/chaos/test_chaos_bulk_insert.py/0 | {
"file_path": "milvus/tests/python_client/chaos/test_chaos_bulk_insert.py",
"repo_id": "milvus",
"token_count": 3346
} | 2,116 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/indices/knowledge_graph/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/knowledge_graph/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,572 |
{
"code": "Programming language (C++, Java, Javascript, Python, etc.)",
"aa": "Afar",
"aaa": "Ghotuo",
"aab": "Alumu-Tesu",
"aac": "Ari",
"aad": "Amal",
"aae": "Arbëreshë Albanian",
"aaf": "Aranadan",
"aag": "Ambrak",
"aah": "Abu' Arapesh",
"aai": "Arifama-Miniafia",
"aak... | datasets/src/datasets/utils/resources/languages.json/0 | {
"file_path": "datasets/src/datasets/utils/resources/languages.json",
"repo_id": "datasets",
"token_count": 111198
} | 151 |
use candle_core::{DType, Result, Tensor};
#[test]
fn npy() -> Result<()> {
let npy = Tensor::read_npy("tests/test.npy")?;
assert_eq!(
npy.to_dtype(DType::U8)?.to_vec1::<u8>()?,
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
);
Ok(())
}
#[test]
fn npz() -> Result<()> {
let npz = Tensor::read_npz("t... | candle/candle-core/tests/serialization_tests.rs/0 | {
"file_path": "candle/candle-core/tests/serialization_tests.rs",
"repo_id": "candle",
"token_count": 333
} | 36 |
from llama_index.llms.openai_like.base import OpenAILike
__all__ = ["OpenAILike"]
| llama_index/llama-index-integrations/llms/llama-index-llms-openai-like/llama_index/llms/openai_like/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-openai-like/llama_index/llms/openai_like/__init__.py",
"repo_id": "llama_index",
"token_count": 33
} | 1,273 |
# 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/stable_diffusion/pipeline_stable_diffusion_image_variation.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_image_variation.py",
"repo_id": "diffusers",
"token_count": 9795
} | 266 |
from langchain_community.agent_toolkits.spark_sql.prompt import SQL_PREFIX, SQL_SUFFIX
__all__ = ["SQL_PREFIX", "SQL_SUFFIX"]
| langchain/libs/langchain/langchain/agents/agent_toolkits/spark_sql/prompt.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/spark_sql/prompt.py",
"repo_id": "langchain",
"token_count": 52
} | 464 |
import { Example } from "../prompts/base.js";
import { BaseExampleSelector } from "./base.js";
import { PromptTemplate } from "../prompts/prompt.js";
/**
* Calculates the length of a text based on the number of words and lines.
*/
function getLengthBased(text: string): number {
return text.split(/\n| /).length;
}
... | langchainjs/langchain-core/src/example_selectors/length_based.ts/0 | {
"file_path": "langchainjs/langchain-core/src/example_selectors/length_based.ts",
"repo_id": "langchainjs",
"token_count": 1594
} | 851 |
from typing import Tuple
from langchain_experimental.tot.memory import ToTDFSMemory
from langchain_experimental.tot.thought import ThoughtValidity
class ToTController:
"""
Tree of Thought (ToT) controller.
This is a version of a ToT controller, dubbed in the paper as a "Simple
Controller".
It h... | langchain/libs/experimental/langchain_experimental/tot/controller.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/tot/controller.py",
"repo_id": "langchain",
"token_count": 687
} | 427 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/falcon.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/falcon.md",
"repo_id": "transformers",
"token_count": 837
} | 504 |
from llama_index.cli.new_package.templates.pyproject import pyproject_str
from llama_index.cli.new_package.templates.readme import readme_str
from llama_index.cli.new_package.templates.init import (
init_str,
init_with_prefix_str,
)
__all__ = ["pyproject_str", "readme_str", "init_str", "init_with_prefix_str"]
| llama_index/llama-index-cli/llama_index/cli/new_package/templates/__init__.py/0 | {
"file_path": "llama_index/llama-index-cli/llama_index/cli/new_package/templates/__init__.py",
"repo_id": "llama_index",
"token_count": 119
} | 1,115 |
from typing import Sequence
from langchain_core.tools import BaseTool
def validate_tools_single_input(class_name: str, tools: Sequence[BaseTool]) -> None:
"""Validate tools for single input."""
for tool in tools:
if not tool.is_single_input:
raise ValueError(
f"{class_name... | langchain/libs/langchain/langchain/agents/utils.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/utils.py",
"repo_id": "langchain",
"token_count": 149
} | 491 |
# ResNet
**Residual Networks**, or **ResNets**, learn residual functions with reference to the layer inputs, instead of learning unreferenced functions. Instead of hoping each few stacked layers directly fit a desired underlying mapping, residual nets let these layers fit a residual mapping. They stack [residual block... | pytorch-image-models/docs/models/.templates/models/resnet.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/resnet.md",
"repo_id": "pytorch-image-models",
"token_count": 4271
} | 363 |
import unittest
from diffusers.pipelines.pipeline_utils import is_safetensors_compatible
class IsSafetensorsCompatibleTests(unittest.TestCase):
def test_all_is_compatible(self):
filenames = [
"safety_checker/pytorch_model.bin",
"safety_checker/model.safetensors",
"vae/... | diffusers/tests/pipelines/test_pipeline_utils.py/0 | {
"file_path": "diffusers/tests/pipelines/test_pipeline_utils.py",
"repo_id": "diffusers",
"token_count": 2746
} | 277 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-packs/llama-index-packs-dense-x-retrieval/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-dense-x-retrieval/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,651 |
from langchain_community.document_loaders.notiondb import (
NotionDBLoader,
)
__all__ = ["NotionDBLoader"]
| langchain/libs/langchain/langchain/document_loaders/notiondb.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/notiondb.py",
"repo_id": "langchain",
"token_count": 40
} | 485 |
//! Various optimization algorithms.
use candle::{Result, Tensor, Var};
/// The interface optimizers should implement.
pub trait Optimizer: Sized {
type Config: Sized;
fn new(vars: Vec<Var>, config: Self::Config) -> Result<Self>;
fn step(&mut self, grads: &candle::backprop::GradStore) -> Result<()>;
... | candle/candle-nn/src/optim.rs/0 | {
"file_path": "candle/candle-nn/src/optim.rs",
"repo_id": "candle",
"token_count": 2798
} | 62 |
from langchain_community.document_loaders.airbyte_json import AirbyteJSONLoader
__all__ = ["AirbyteJSONLoader"]
| langchain/libs/langchain/langchain/document_loaders/airbyte_json.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/airbyte_json.py",
"repo_id": "langchain",
"token_count": 33
} | 474 |
from langchain_community.utilities.merriam_webster import (
MerriamWebsterAPIWrapper,
)
__all__ = [
"MerriamWebsterAPIWrapper",
]
| langchain/libs/langchain/langchain/utilities/merriam_webster.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/merriam_webster.py",
"repo_id": "langchain",
"token_count": 56
} | 605 |
package common
import (
"testing"
"github.com/stretchr/testify/assert"
)
func TestCloneStr2Str(t *testing.T) {
type args struct {
m Str2Str
}
tests := []struct {
name string
args args
}{
{
args: args{
m: nil,
},
},
{
args: args{
m: map[string]string{
"k1": "v1",
"k2": "v2... | milvus/pkg/common/map_test.go/0 | {
"file_path": "milvus/pkg/common/map_test.go",
"repo_id": "milvus",
"token_count": 262
} | 1,948 |
<jupyter_start><jupyter_text>Polygon Stock Market API>[Polygon](https://polygon.io/) The Polygon.io Stocks API provides REST endpoints that let you query the latest market data from all US stock exchanges.Use the ``PolygonAPIWrapper`` to get stock market data like the latest quote for a ticker.<jupyter_code>import getp... | langchain/docs/docs/integrations/tools/polygon.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/tools/polygon.ipynb",
"repo_id": "langchain",
"token_count": 193
} | 170 |
"""Test Nomic embeddings."""
from langchain_nomic.embeddings import NomicEmbeddings
def test_langchain_nomic_embedding_documents() -> None:
"""Test nomic embeddings."""
documents = ["foo bar"]
embedding = NomicEmbeddings(model="nomic-embed-text-v1")
output = embedding.embed_documents(documents)
a... | langchain/libs/partners/nomic/tests/integration_tests/test_embeddings.py/0 | {
"file_path": "langchain/libs/partners/nomic/tests/integration_tests/test_embeddings.py",
"repo_id": "langchain",
"token_count": 346
} | 629 |
<jupyter_start><jupyter_text>Neo4j vector store If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-vector-stores-neo4jvector
!pip install llama-index
import os
import openai
os.environ["OPENAI_API_KEY"] = "OPENAI_API_KEY"
openai.api_key = os... | llama_index/docs/examples/vector_stores/Neo4jVectorDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/Neo4jVectorDemo.ipynb",
"repo_id": "llama_index",
"token_count": 1286
} | 1,136 |
# Frontend Dockerfile
FROM node:16
# Set the working directory
WORKDIR /frontend
# Copy the package.json and yarn.lock
COPY ./package.json ./
COPY ./yarn.lock ./
# Install Yarn and dependencies
RUN yarn install
# Copy the rest of the frontend code
COPY . .
# Expose the port the frontend runs on
EXPOSE 5173
# Comm... | opengpts/frontend/Dockerfile/0 | {
"file_path": "opengpts/frontend/Dockerfile",
"repo_id": "opengpts",
"token_count": 122
} | 2,202 |
""" ConvNeXt
Papers:
* `A ConvNet for the 2020s` - https://arxiv.org/pdf/2201.03545.pdf
@Article{liu2022convnet,
author = {Zhuang Liu and Hanzi Mao and Chao-Yuan Wu and Christoph Feichtenhofer and Trevor Darrell and Saining Xie},
title = {A ConvNet for the 2020s},
journal = {Proceedings of the IEEE/CVF Confer... | pytorch-image-models/timm/models/convnext.py/0 | {
"file_path": "pytorch-image-models/timm/models/convnext.py",
"repo_id": "pytorch-image-models",
"token_count": 24539
} | 375 |
# @langchain/mistralai
This package contains the LangChain.js integrations for Mistral through their SDK.
## Installation
```bash npm2yarn
npm install @langchain/mistralai
```
This package, along with the main LangChain package, depends on [`@langchain/core`](https://npmjs.com/package/@langchain/core/).
If you are ... | langchainjs/libs/langchain-mistralai/README.md/0 | {
"file_path": "langchainjs/libs/langchain-mistralai/README.md",
"repo_id": "langchainjs",
"token_count": 995
} | 1,102 |
<!--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... | peft/docs/source/package_reference/lora.md/0 | {
"file_path": "peft/docs/source/package_reference/lora.md",
"repo_id": "peft",
"token_count": 498
} | 321 |
from typing import List
import pytest
from llama_index.core.schema import BaseNode, Document
from llama_index.storage.docstore.postgres import (
PostgresDocumentStore,
)
from llama_index.storage.kvstore.postgres import PostgresKVStore
try:
import asyncpg # noqa
import psycopg2 # noqa
import sqlalche... | llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-postgres/tests/test_postgres.py/0 | {
"file_path": "llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-postgres/tests/test_postgres.py",
"repo_id": "llama_index",
"token_count": 858
} | 1,468 |
import shutil
import textwrap
import librosa
import numpy as np
import pytest
import soundfile as sf
from datasets import Audio, ClassLabel, Features, Value
from datasets.data_files import DataFilesDict, get_data_patterns
from datasets.download.streaming_download_manager import StreamingDownloadManager
from datasets.... | datasets/tests/packaged_modules/test_audiofolder.py/0 | {
"file_path": "datasets/tests/packaged_modules/test_audiofolder.py",
"repo_id": "datasets",
"token_count": 8594
} | 151 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/epub/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/epub/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,292 |
from typing import Dict, Tuple
from langchain.chains.query_constructor.ir import (
Comparator,
Comparison,
Operation,
Operator,
StructuredQuery,
)
from langchain.retrievers.self_query.deeplake import DeepLakeTranslator
DEFAULT_TRANSLATOR = DeepLakeTranslator()
def test_visit_comparison() -> None... | langchain/libs/langchain/tests/unit_tests/retrievers/self_query/test_deeplake.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/retrievers/self_query/test_deeplake.py",
"repo_id": "langchain",
"token_count": 1076
} | 636 |
syntax = "proto3";
package milvus.proto.data;
option go_package = "github.com/milvus-io/milvus/internal/proto/datapb";
import "common.proto";
import "internal.proto";
import "milvus.proto";
import "schema.proto";
import "msg.proto";
import "index_coord.proto";
// TODO: import google/protobuf/empty.proto
message Emp... | milvus/internal/proto/data_coord.proto/0 | {
"file_path": "milvus/internal/proto/data_coord.proto",
"repo_id": "milvus",
"token_count": 8668
} | 1,873 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/indices/managed/colbert_index/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/managed/colbert_index/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,663 |
python_sources()
| llama_index/llama-index-integrations/callbacks/llama-index-callbacks-wandb/llama_index/callbacks/wandb/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-wandb/llama_index/callbacks/wandb/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,231 |
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/evaluation/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/evaluation/BUILD",
"repo_id": "llama_index",
"token_count": 25
} | 1,659 |
import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate
@dataclass(frozen=True)
class AudioClassification(TaskTemplate):
task: str = field(default="audio-classification", metadata={"include_in_asdict_... | datasets/src/datasets/tasks/audio_classification.py/0 | {
"file_path": "datasets/src/datasets/tasks/audio_classification.py",
"repo_id": "datasets",
"token_count": 487
} | 134 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "tools/serper",
});
export * from "@langchain/community/tools/serper";
| langchainjs/langchain/src/tools/serper.ts/0 | {
"file_path": "langchainjs/langchain/src/tools/serper.ts",
"repo_id": "langchainjs",
"token_count": 70
} | 958 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-fastembed/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-fastembed/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,305 |
use crate::backend::{BackendDevice, BackendStorage};
use crate::conv::{ParamsConv1D, ParamsConv2D, ParamsConvTranspose1D, ParamsConvTranspose2D};
use crate::op::{BinaryOpT, CmpOp, ReduceOp, UnaryOpT};
use crate::{CpuStorage, DType, Layout, Result, Shape};
use candle_metal_kernels;
use candle_metal_kernels::Kernels;
use... | candle/candle-core/src/metal_backend.rs/0 | {
"file_path": "candle/candle-core/src/metal_backend.rs",
"repo_id": "candle",
"token_count": 36701
} | 35 |
<jupyter_start><jupyter_code>from transformers import AutoModelForCausalLM
from peft import get_peft_config, get_peft_model, PrefixTuningConfig, TaskType, PeftType
import torch
from datasets import load_dataset
import os
from transformers import AutoTokenizer
from torch.utils.data import DataLoader
from transformers im... | peft/examples/causal_language_modeling/peft_prefix_tuning_clm.ipynb/0 | {
"file_path": "peft/examples/causal_language_modeling/peft_prefix_tuning_clm.ipynb",
"repo_id": "peft",
"token_count": 4714
} | 309 |
"""
The main idea for this code is to provide a way for users to not need to bother with the hassle of multiple tokens for a concept by typing
a photo of <concept>_0 <concept>_1 ... and so on
and instead just do
a photo of <concept>
which gets translated to the above. This needs to work for both inference and training.... | diffusers/examples/research_projects/multi_token_textual_inversion/multi_token_clip.py/0 | {
"file_path": "diffusers/examples/research_projects/multi_token_textual_inversion/multi_token_clip.py",
"repo_id": "diffusers",
"token_count": 1827
} | 217 |
import { z } from "zod";
import { ChatOpenAI } from "@langchain/openai";
import { LLMChain } from "langchain/chains";
import {
StructuredOutputParser,
OutputFixingParser,
} from "langchain/output_parsers";
import { PromptTemplate } from "@langchain/core/prompts";
const outputParser = StructuredOutputParser.fromZod... | langchainjs/examples/src/prompts/use_with_llm_chain.ts/0 | {
"file_path": "langchainjs/examples/src/prompts/use_with_llm_chain.ts",
"repo_id": "langchainjs",
"token_count": 736
} | 860 |
# coding=utf-8
# Copyright 2023 the Falcon authors and 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/LICE... | transformers/src/transformers/models/falcon/modeling_falcon.py/0 | {
"file_path": "transformers/src/transformers/models/falcon/modeling_falcon.py",
"repo_id": "transformers",
"token_count": 33509
} | 663 |
from langchain_community.tools.azure_cognitive_services.text2speech import (
AzureCogsText2SpeechTool,
)
__all__ = ["AzureCogsText2SpeechTool"]
| langchain/libs/langchain/langchain/tools/azure_cognitive_services/text2speech.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/azure_cognitive_services/text2speech.py",
"repo_id": "langchain",
"token_count": 54
} | 571 |
from llama_index.core.callbacks.base import BaseCallbackHandler
from llama_index.finetuning.callbacks.finetuning_handler import OpenAIFineTuningHandler
def test_class():
names_of_base_classes = [b.__name__ for b in OpenAIFineTuningHandler.__mro__]
assert BaseCallbackHandler.__name__ in names_of_base_classes
| llama_index/llama-index-finetuning/tests/callbacks/test_callback_classes.py/0 | {
"file_path": "llama_index/llama-index-finetuning/tests/callbacks/test_callback_classes.py",
"repo_id": "llama_index",
"token_count": 105
} | 1,285 |
[tool.poetry]
name = "langchain-plugin"
version = "0.1.0"
description = "An example ChatGPT Plugin that exposes a LangChain chain, agent, or retriever"
authors = ["LangChain Core"]
readme = "README.md"
packages = [{include = "app"}]
[tool.poetry.scripts]
app = "app.main:start"
[tool.poetry.dependencies]
python = "^3.... | langchain-aiplugin/pyproject.toml/0 | {
"file_path": "langchain-aiplugin/pyproject.toml",
"repo_id": "langchain-aiplugin",
"token_count": 260
} | 63 |
python_sources()
| llama_index/llama-index-integrations/program/llama-index-program-guidance/llama_index/program/guidance/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/program/llama-index-program-guidance/llama_index/program/guidance/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,253 |
import { TavilySearchResults } from "@langchain/community/tools/tavily_search";
import { ChatOpenAI } from "@langchain/openai";
import type { ChatPromptTemplate } from "@langchain/core/prompts";
import { pull } from "langchain/hub";
import { AgentExecutor, createOpenAIFunctionsAgent } from "langchain/agents";
// Defi... | langchainjs/examples/src/tools/tavily_search.ts/0 | {
"file_path": "langchainjs/examples/src/tools/tavily_search.ts",
"repo_id": "langchainjs",
"token_count": 479
} | 844 |
from langchain_community.chat_message_histories.neo4j import Neo4jChatMessageHistory
__all__ = ["Neo4jChatMessageHistory"]
| langchain/libs/langchain/langchain/memory/chat_message_histories/neo4j.py/0 | {
"file_path": "langchain/libs/langchain/langchain/memory/chat_message_histories/neo4j.py",
"repo_id": "langchain",
"token_count": 40
} | 520 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-psychic/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-psychic/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,407 |
export * from "@langchain/community/memory/chat_memory";
| langchainjs/langchain/src/memory/chat_memory.ts/0 | {
"file_path": "langchainjs/langchain/src/memory/chat_memory.ts",
"repo_id": "langchainjs",
"token_count": 16
} | 970 |
import { test, expect } from "@jest/globals";
import { BaseRetriever } from "@langchain/core/retrievers";
import { BaseLLM } from "@langchain/core/language_models/llms";
import { LLMResult } from "@langchain/core/outputs";
import { Document } from "@langchain/core/documents";
import { PromptTemplate } from "@langchain/... | langchainjs/langchain/src/chains/router/tests/multi_retrieval_qa.test.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/router/tests/multi_retrieval_qa.test.ts",
"repo_id": "langchainjs",
"token_count": 1543
} | 909 |
import DocCardList from "@theme/DocCardList";
# Autonomous Agents
Autonomous Agents are agents that designed to be more long running. You give them one or multiple long term goals, and they independently execute towards those goals. The applications combine tool usage and long term memory.
At the moment, Autonomous ... | langchainjs/docs/core_docs/docs/use_cases/autonomous_agents/index.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/use_cases/autonomous_agents/index.mdx",
"repo_id": "langchainjs",
"token_count": 137
} | 774 |
from langchain_community.callbacks.confident_callback import DeepEvalCallbackHandler
__all__ = ["DeepEvalCallbackHandler"]
| langchain/libs/langchain/langchain/callbacks/confident_callback.py/0 | {
"file_path": "langchain/libs/langchain/langchain/callbacks/confident_callback.py",
"repo_id": "langchain",
"token_count": 33
} | 448 |
"""Base interface class for storing chat history per user."""
from abc import abstractmethod
from typing import List, Optional
from llama_index.legacy.llms import ChatMessage
from llama_index.legacy.schema import BaseComponent
class BaseChatStore(BaseComponent):
@classmethod
def class_name(cls) -> str:
... | llama_index/llama-index-legacy/llama_index/legacy/storage/chat_store/base.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/storage/chat_store/base.py",
"repo_id": "llama_index",
"token_count": 512
} | 1,714 |
from langchain_core.prompt_values import ChatPromptValue, ChatPromptValueConcrete
from langchain_core.prompts.chat import (
AIMessagePromptTemplate,
BaseChatPromptTemplate,
BaseMessagePromptTemplate,
BaseStringMessagePromptTemplate,
ChatMessagePromptTemplate,
ChatPromptTemplate,
HumanMessage... | langchain/libs/langchain/langchain/prompts/chat.py/0 | {
"file_path": "langchain/libs/langchain/langchain/prompts/chat.py",
"repo_id": "langchain",
"token_count": 367
} | 528 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/onnx/utils.py/0 | {
"file_path": "transformers/src/transformers/onnx/utils.py",
"repo_id": "transformers",
"token_count": 1291
} | 724 |
# Firebase Realtime Database Loader
This loader retrieves documents from Firebase Realtime Database. The user specifies the Firebase Realtime Database URL and, optionally, the path to a service account key file for authentication.
## Usage
Here's an example usage of the FirebaseRealtimeDatabaseReader.
```python
fro... | llama_index/llama-index-integrations/readers/llama-index-readers-firebase-realtimedb/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-firebase-realtimedb/README.md",
"repo_id": "llama_index",
"token_count": 286
} | 1,322 |
from typing import Callable, List, Optional
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
from langchain_community.document_loaders.gcs_file import GCSFileLoader
from langchain_community.utilities.vertexai import get_client_info
class GCSDirectoryLoad... | langchain/libs/community/langchain_community/document_loaders/gcs_directory.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/gcs_directory.py",
"repo_id": "langchain",
"token_count": 896
} | 237 |
<jupyter_start><jupyter_text>DocArray HnswSearch>[DocArrayHnswSearch](https://docs.docarray.org/user_guide/storing/index_hnswlib/) is a lightweight Document Index implementation provided by [Docarray](https://github.com/docarray/docarray) that runs fully locally and is best suited for small- to medium-sized datasets. I... | langchain/docs/docs/integrations/vectorstores/docarray_hnsw.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/docarray_hnsw.ipynb",
"repo_id": "langchain",
"token_count": 840
} | 175 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use t... | milvus/internal/core/src/segcore/load_field_data_c.h/0 | {
"file_path": "milvus/internal/core/src/segcore/load_field_data_c.h",
"repo_id": "milvus",
"token_count": 697
} | 1,749 |
import { z } from "zod";
import { zodToJsonSchema } from "zod-to-json-schema";
import { ChatMinimax } from "@langchain/community/chat_models/minimax";
import { HumanMessage } from "@langchain/core/messages";
const extractionFunctionZodSchema = z.object({
location: z.string().describe(" The location to get the weathe... | langchainjs/examples/src/models/chat/minimax_functions_zod.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/minimax_functions_zod.ts",
"repo_id": "langchainjs",
"token_count": 489
} | 838 |
# coding=utf-8
# 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 requir... | transformers/tests/quantization/gptq/test_gptq.py/0 | {
"file_path": "transformers/tests/quantization/gptq/test_gptq.py",
"repo_id": "transformers",
"token_count": 7230
} | 787 |
run:
go: "1.20"
skip-dirs:
- build
- configs
- deployments
- docs
- scripts
- internal/core
- cmake_build
linters:
disable-all: true
enable:
- gosimple
- govet
- ineffassign
- staticcheck
- decorder
- depguard
- gofmt
- goimports
- gosec
- rev... | milvus/.golangci.yml/0 | {
"file_path": "milvus/.golangci.yml",
"repo_id": "milvus",
"token_count": 1992
} | 1,710 |
import { resolveApiUrl } from "./utils/url";
import { simplifySchema } from "./utils/simplifySchema";
import { JsonSchema } from "@jsonforms/core";
import { compressToEncodedURIComponent } from "lz-string";
import useSWR from "swr";
import defaults from "./utils/defaults";
declare global {
interface Window {
//... | langserve/langserve/playground/src/useSchemas.tsx/0 | {
"file_path": "langserve/langserve/playground/src/useSchemas.tsx",
"repo_id": "langserve",
"token_count": 966
} | 1,014 |
<jupyter_start><jupyter_text>Embedding Distance[](https://colab.research.google.com/github/langchain-ai/langchain/blob/master/docs/docs/guides/evaluation/string/embedding_distance.ipynb)To measure semantic similarity (or dissimilarity) between a prediction and a reference label string, you could use a vector distance m... | langchain/docs/docs/guides/evaluation/string/embedding_distance.ipynb/0 | {
"file_path": "langchain/docs/docs/guides/evaluation/string/embedding_distance.ipynb",
"repo_id": "langchain",
"token_count": 632
} | 88 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-wikipedia/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-wikipedia/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,449 |
# 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/videomae/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/videomae/__init__.py",
"repo_id": "transformers",
"token_count": 943
} | 667 |
import argparse
import glob
from os.path import join
from tokenizers import ByteLevelBPETokenizer
parser = argparse.ArgumentParser()
parser.add_argument(
"--files",
default=None,
metavar="path",
type=str,
required=True,
help="The files to use as training; accept '**/*.txt' type of patterns \
... | tokenizers/bindings/python/examples/train_bytelevel_bpe.py/0 | {
"file_path": "tokenizers/bindings/python/examples/train_bytelevel_bpe.py",
"repo_id": "tokenizers",
"token_count": 521
} | 434 |
python_sources()
| llama_index/benchmarks/embeddings/BUILD/0 | {
"file_path": "llama_index/benchmarks/embeddings/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,075 |
# coding=utf-8
# Copyright 2022 the Big Science Workshop and 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/license... | transformers/src/transformers/models/bloom/configuration_bloom.py/0 | {
"file_path": "transformers/src/transformers/models/bloom/configuration_bloom.py",
"repo_id": "transformers",
"token_count": 4332
} | 576 |
import { logVersion010MigrationWarning } from "../../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "stores/message/cassandra",
});
export * from "@langchain/community/stores/message/cassandra";
| langchainjs/langchain/src/stores/message/cassandra.ts/0 | {
"file_path": "langchainjs/langchain/src/stores/message/cassandra.ts",
"repo_id": "langchainjs",
"token_count": 77
} | 938 |
# rag-aws-kendra
This template is an application that utilizes Amazon Kendra, a machine learning powered search service, and Anthropic Claude for text generation. The application retrieves documents using a Retrieval chain to answer questions from your documents.
It uses the `boto3` library to connect with the Bedro... | langchain/templates/rag-aws-kendra/README.md/0 | {
"file_path": "langchain/templates/rag-aws-kendra/README.md",
"repo_id": "langchain",
"token_count": 1000
} | 712 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "eos_token",
"generated_tokens": 7,
"prefill": [
{
"id": 0,
"logprob": null,
"text": "<pad>"
}
],
"seed": null,
"tokens": [
{
"id": 3,
"logprob": -0.7001953,
"specia... | text-generation-inference/integration-tests/models/__snapshots__/test_t5_sharded/test_t5_sharded.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_t5_sharded/test_t5_sharded.json",
"repo_id": "text-generation-inference",
"token_count": 680
} | 405 |
# 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.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/wuerstchen/pipeline_wuerstchen.py",
"repo_id": "diffusers",
"token_count": 9245
} | 249 |
# 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/google_bleu/google_bleu.py/0 | {
"file_path": "datasets/metrics/google_bleu/google_bleu.py",
"repo_id": "datasets",
"token_count": 4259
} | 120 |
<jupyter_start><jupyter_text>Embeddings with ClarifaiLlamaIndex has support for Clarifai embeddings models. You must have a Clarifai account and a Personal Access Token (PAT) key. [Check here](https://clarifai.com/settings/security) to get or create a PAT.Set CLARIFAI_PAT as an environment variable or You can pass PAT ... | llama_index/docs/examples/embeddings/clarifai.ipynb/0 | {
"file_path": "llama_index/docs/examples/embeddings/clarifai.ipynb",
"repo_id": "llama_index",
"token_count": 619
} | 1,057 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 1,
"logprob": null,
"text": "<s>"
},
{
"id": 4321,
"logprob": -9.84375,
"text": "Test"
},
{
"id": 2009... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_llama_gptq/test_flash_llama_gptq_all_params.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_llama_gptq/test_flash_llama_gptq_all_params.json",
"repo_id": "text-generation-inference",
"token_count": 1035
} | 405 |
Here is how to convert a GPT2 model generated outside of `transformers`
* [Megatron-LM](https://github.com/NVIDIA/Megatron-LM)-generated model:
Use [convert_megatron_gpt2_checkpoint.py](../megatron_gpt2/convert_megatron_gpt2_checkpoint.py)
* [big-science fork of Megatron-Deepspeed](https://github.com/bigscience-wo... | transformers/src/transformers/models/gpt2/CONVERSION.md/0 | {
"file_path": "transformers/src/transformers/models/gpt2/CONVERSION.md",
"repo_id": "transformers",
"token_count": 216
} | 609 |
r"""AgentSearch reader.
Example as of 1/8/2024:
```python
AgentSearch = download_loader("AgentSearch")
document = reader.load_data(
query="latest news",
search_provider="bing"
)[0]
print(f'Document:\n{document} ')
```
```plaintext
Document:
Doc ID: 67a57dfe-8bd6-4c69-af9d-683e76177119
Text: The latest news... | llama_index/llama-index-integrations/readers/llama-index-readers-agent-search/llama_index/readers/agent_search/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-agent-search/llama_index/readers/agent_search/base.py",
"repo_id": "llama_index",
"token_count": 879
} | 1,397 |
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/indices/response/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/response/BUILD",
"repo_id": "llama_index",
"token_count": 25
} | 1,621 |
from langchain.schema.runnable.base import __all__
EXPECTED_ALL = [
"Runnable",
"RunnableBinding",
"RunnableBindingBase",
"RunnableEach",
"RunnableEachBase",
"RunnableGenerator",
"RunnableLambda",
"RunnableMap",
"RunnableParallel",
"RunnableSequence",
"RunnableSerializable",... | langchain/libs/langchain/tests/unit_tests/schema/runnable/test_base.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/schema/runnable/test_base.py",
"repo_id": "langchain",
"token_count": 226
} | 614 |
"""Test chat model integration."""
from typing import Dict, List, Union
import pytest
from langchain_core.messages import (
AIMessage,
FunctionMessage,
HumanMessage,
SystemMessage,
)
from langchain_core.pydantic_v1 import SecretStr
from pytest import CaptureFixture
from langchain_google_genai.chat_mo... | langchain/libs/partners/google-genai/tests/unit_tests/test_chat_models.py/0 | {
"file_path": "langchain/libs/partners/google-genai/tests/unit_tests/test_chat_models.py",
"repo_id": "langchain",
"token_count": 934
} | 626 |
# 📕 Package Versioning
As of now, LangChain has an ad hoc release process: releases are cut with high frequency by
a maintainer and published to [PyPI](https://pypi.org/).
The different packages are versioned slightly differently.
## `langchain-core`
`langchain-core` is currently on version `0.1.x`.
As `langchain... | langchain/docs/docs/packages.mdx/0 | {
"file_path": "langchain/docs/docs/packages.mdx",
"repo_id": "langchain",
"token_count": 488
} | 199 |
// 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/ops_services.go/0 | {
"file_path": "milvus/internal/querycoordv2/ops_services.go",
"repo_id": "milvus",
"token_count": 1228
} | 1,758 |
from langchain_core.output_parsers.xml import XMLOutputParser
__all__ = ["XMLOutputParser"]
| langchain/libs/langchain/langchain/output_parsers/xml.py/0 | {
"file_path": "langchain/libs/langchain/langchain/output_parsers/xml.py",
"repo_id": "langchain",
"token_count": 30
} | 552 |
from langchain_core.embeddings import Embeddings
# This is for backwards compatibility
__all__ = ["Embeddings"]
| langchain/libs/langchain/langchain/embeddings/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/embeddings/base.py",
"repo_id": "langchain",
"token_count": 32
} | 521 |
import torch
from timm.utils.agc import adaptive_clip_grad
def dispatch_clip_grad(parameters, value: float, mode: str = 'norm', norm_type: float = 2.0):
""" Dispatch to gradient clipping method
Args:
parameters (Iterable): model parameters to clip
value (float): clipping value/factor/norm, m... | pytorch-image-models/timm/utils/clip_grad.py/0 | {
"file_path": "pytorch-image-models/timm/utils/clip_grad.py",
"repo_id": "pytorch-image-models",
"token_count": 306
} | 409 |
<jupyter_start><jupyter_text>Introduction à Stable DiffusionCe *notebook* va couvrir les bases de l'utilisation de Stable Diffusion pour créer et modifier des images en utilisant les pipelines existants. Nous allons également jeter un bref coup d'œil aux composants clés au sein du pipeline, tout en laissant une explora... | diffusion-models-class/units/fr/unit3/stable_diffusion_introduction.ipynb/0 | {
"file_path": "diffusion-models-class/units/fr/unit3/stable_diffusion_introduction.ipynb",
"repo_id": "diffusion-models-class",
"token_count": 8445
} | 291 |
from typing import TYPE_CHECKING
from ....utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_available() and i... | diffusers/src/diffusers/pipelines/deprecated/alt_diffusion/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/alt_diffusion/__init__.py",
"repo_id": "diffusers",
"token_count": 685
} | 241 |
# coding=utf-8
# Copyright Microsoft Research and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENS... | transformers/src/transformers/models/layoutlmv2/configuration_layoutlmv2.py/0 | {
"file_path": "transformers/src/transformers/models/layoutlmv2/configuration_layoutlmv2.py",
"repo_id": "transformers",
"token_count": 4766
} | 655 |
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