text stringlengths 7 318k | id stringlengths 14 166 | metadata dict | __index_level_0__ int64 0 439 |
|---|---|---|---|
import torch
import torch.distributed
from torch import nn
from transformers.activations import ACT2FN
from typing import Optional, List, Tuple
from text_generation_server.utils import paged_attention, flash_attn
from text_generation_server.utils.layers import (
TensorParallelRowLinear,
TensorParallelColumnLi... | text-generation-inference/server/text_generation_server/models/custom_modeling/flash_santacoder_modeling.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/flash_santacoder_modeling.py",
"repo_id": "text-generation-inference",
"token_count": 7963
} | 216 |
import torch
import torch.distributed
from opentelemetry import trace
from transformers import AutoTokenizer, AutoConfig
from typing import Optional
from text_generation_server.models import FlashCausalLM
from text_generation_server.models.custom_modeling.flash_neox_modeling import (
FlashGPTNeoXForCausalLM,
)
fr... | text-generation-inference/server/text_generation_server/models/flash_neox.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/flash_neox.py",
"repo_id": "text-generation-inference",
"token_count": 1048
} | 217 |
from functools import total_ordering
import torch
from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import List, Optional
from transformers import PreTrainedTokenizerBase
from text_generation_server.pb import generate_pb2
from text_generation_server.pb.generate_pb2 import FinishReason... | text-generation-inference/server/text_generation_server/models/types.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/types.py",
"repo_id": "text-generation-inference",
"token_count": 1159
} | 218 |
import os
import torch
import torch.distributed
from torch import nn
from torch.nn import functional as F
from typing import List
from loguru import logger
from functools import lru_cache
HAS_BITS_AND_BYTES = True
try:
import bitsandbytes as bnb
from bitsandbytes.nn import Int8Params, Params4bit
except Import... | text-generation-inference/server/text_generation_server/utils/layers.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/utils/layers.py",
"repo_id": "text-generation-inference",
"token_count": 18214
} | 219 |
target
.yarn | tokenizers/bindings/node/.prettierignore/0 | {
"file_path": "tokenizers/bindings/node/.prettierignore",
"repo_id": "tokenizers",
"token_count": 5
} | 220 |
{
"name": "tokenizers-darwin-x64",
"version": "0.13.4-rc1",
"os": [
"darwin"
],
"cpu": [
"x64"
],
"main": "tokenizers.darwin-x64.node",
"files": [
"tokenizers.darwin-x64.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
"NAPI",
"N-API... | tokenizers/bindings/node/npm/darwin-x64/package.json/0 | {
"file_path": "tokenizers/bindings/node/npm/darwin-x64/package.json",
"repo_id": "tokenizers",
"token_count": 268
} | 221 |
{
"name": "tokenizers-win32-ia32-msvc",
"version": "0.13.4-rc1",
"os": [
"win32"
],
"cpu": [
"ia32"
],
"main": "tokenizers.win32-ia32-msvc.node",
"files": [
"tokenizers.win32-ia32-msvc.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
"NA... | tokenizers/bindings/node/npm/win32-ia32-msvc/package.json/0 | {
"file_path": "tokenizers/bindings/node/npm/win32-ia32-msvc/package.json",
"repo_id": "tokenizers",
"token_count": 277
} | 222 |
use crate::decoders::Decoder;
use crate::encoding::{JsEncoding, JsTruncationDirection, JsTruncationStrategy};
use crate::models::Model;
use crate::normalizers::Normalizer;
use crate::pre_tokenizers::PreTokenizer;
use crate::processors::Processor;
use crate::tasks::tokenizer::{DecodeBatchTask, DecodeTask, EncodeBatchTas... | tokenizers/bindings/node/src/tokenizer.rs/0 | {
"file_path": "tokenizers/bindings/node/src/tokenizer.rs",
"repo_id": "tokenizers",
"token_count": 5701
} | 223 |
import argparse
import glob
from tokenizers import BertWordPieceTokenizer
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_bert_wordpiece.py/0 | {
"file_path": "tokenizers/bindings/python/examples/train_bert_wordpiece.py",
"repo_id": "tokenizers",
"token_count": 472
} | 224 |
# Generated content DO NOT EDIT
class Model:
"""
Base class for all models
The model represents the actual tokenization algorithm. This is the part that
will contain and manage the learned vocabulary.
This class cannot be constructed directly. Please use one of the concrete models.
"""
de... | tokenizers/bindings/python/py_src/tokenizers/models/__init__.pyi/0 | {
"file_path": "tokenizers/bindings/python/py_src/tokenizers/models/__init__.pyi",
"repo_id": "tokenizers",
"token_count": 7567
} | 225 |
import tokenizers
from argparse import ArgumentParser
import sentencepiece as spm
from collections import Counter
import json
import os
import datetime
try:
from termcolor import colored
has_color = True
except Exception:
has_color = False
def main():
parser = ArgumentParser("SentencePiece parity ch... | tokenizers/bindings/python/scripts/spm_parity_check.py/0 | {
"file_path": "tokenizers/bindings/python/scripts/spm_parity_check.py",
"repo_id": "tokenizers",
"token_count": 4295
} | 226 |
use tokenizers as tk;
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::types::*;
use super::{
DestroyPtr, PyNormalizedString, PyNormalizedStringRefMut, RefMutContainer, RefMutGuard,
};
use crate::encoding::PyEncoding;
use crate::error::ToPyResult;
use crate::token::PyToken;
use tk::{OffsetReferential, Offset... | tokenizers/bindings/python/src/utils/pretokenization.rs/0 | {
"file_path": "tokenizers/bindings/python/src/utils/pretokenization.rs",
"repo_id": "tokenizers",
"token_count": 4885
} | 227 |
from tokenizers import Tokenizer
from tokenizers.models import BPE
from tokenizers.pre_tokenizers import Whitespace
from tokenizers.trainers import BpeTrainer
from ..utils import data_dir, doc_wiki_tokenizer
disable_printing = True
original_print = print
def print(*args, **kwargs):
if not disable_printing:
... | tokenizers/bindings/python/tests/documentation/test_quicktour.py/0 | {
"file_path": "tokenizers/bindings/python/tests/documentation/test_quicktour.py",
"repo_id": "tokenizers",
"token_count": 3324
} | 228 |
# Encoding
<tokenizerslangcontent>
<python>
## Encoding
[[autodoc]] tokenizers.Encoding
- all
- attention_mask
- ids
- n_sequences
- offsets
- overflowing
- sequence_ids
- special_tokens_mask
- tokens
- type_ids
- word_ids
- words
</python>
<rust>
The Rust API Reference... | tokenizers/docs/source-doc-builder/api/encoding.mdx/0 | {
"file_path": "tokenizers/docs/source-doc-builder/api/encoding.mdx",
"repo_id": "tokenizers",
"token_count": 190
} | 229 |
from docutils import nodes
import sphinx
from sphinx.locale import _
from conf import rust_version
logger = sphinx.util.logging.getLogger(__name__)
class RustRef:
def __call__(self, name, rawtext, text, lineno, inliner, options={}, content=[]):
doctype = name.split("_")[1]
parts = text.split(":... | tokenizers/docs/source/_ext/rust_doc.py/0 | {
"file_path": "tokenizers/docs/source/_ext/rust_doc.py",
"repo_id": "tokenizers",
"token_count": 1221
} | 230 |
Tokenizers
====================================================================================================
Fast State-of-the-art tokenizers, optimized for both research and production
`🤗 Tokenizers`_ provides an implementation of today's most used tokenizers, with
a focus on performance and versatility. These t... | tokenizers/docs/source/index.rst/0 | {
"file_path": "tokenizers/docs/source/index.rst",
"repo_id": "tokenizers",
"token_count": 404
} | 231 |
use std::time::{Duration, Instant};
use criterion::black_box;
use tokenizers::{
Decoder, EncodeInput, Model, Normalizer, PostProcessor, PreTokenizer, TokenizerImpl, Trainer,
};
pub fn iter_bench_encode<M, N, PT, PP, D>(
iters: u64,
tokenizer: &TokenizerImpl<M, N, PT, PP, D>,
lines: &[EncodeInput],
) ... | tokenizers/tokenizers/benches/common/mod.rs/0 | {
"file_path": "tokenizers/tokenizers/benches/common/mod.rs",
"repo_id": "tokenizers",
"token_count": 964
} | 232 |
// A dependency graph that contains any wasm must all be imported
// asynchronously. This `bootstrap.js` file does the single async import, so
// that no one else needs to worry about it again.
import("./index.js")
.catch(e => console.error("Error importing `index.js`:", e));
| tokenizers/tokenizers/examples/unstable_wasm/www/bootstrap.js/0 | {
"file_path": "tokenizers/tokenizers/examples/unstable_wasm/www/bootstrap.js",
"repo_id": "tokenizers",
"token_count": 79
} | 233 |
#![warn(clippy::all)]
#![allow(clippy::upper_case_acronyms)]
#![doc(html_favicon_url = "https://huggingface.co/favicon.ico")]
#![doc(html_logo_url = "https://huggingface.co/landing/assets/huggingface_logo.svg")]
//! The core of `tokenizers`, written in Rust.
//! Provides an implementation of today's most used tokenize... | tokenizers/tokenizers/src/lib.rs/0 | {
"file_path": "tokenizers/tokenizers/src/lib.rs",
"repo_id": "tokenizers",
"token_count": 2175
} | 234 |
//! [WordPiece](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37842.pdf)
//! model.
use crate::models::bpe::BPE;
use crate::tokenizer::{Model, Result, Token};
use std::{
borrow::Cow,
collections::HashMap,
fs::File,
io::prelude::*,
io::{BufRead, BufReader},
path... | tokenizers/tokenizers/src/models/wordpiece/mod.rs/0 | {
"file_path": "tokenizers/tokenizers/src/models/wordpiece/mod.rs",
"repo_id": "tokenizers",
"token_count": 4422
} | 235 |
pub mod bert;
pub mod byte_level;
pub mod delimiter;
pub mod digits;
pub mod metaspace;
pub mod punctuation;
pub mod sequence;
pub mod split;
pub mod unicode_scripts;
pub mod whitespace;
use serde::{Deserialize, Serialize};
use crate::pre_tokenizers::bert::BertPreTokenizer;
use crate::pre_tokenizers::byte_level::Byte... | tokenizers/tokenizers/src/pre_tokenizers/mod.rs/0 | {
"file_path": "tokenizers/tokenizers/src/pre_tokenizers/mod.rs",
"repo_id": "tokenizers",
"token_count": 2430
} | 236 |
use crate::pattern::Pattern;
use crate::{Offsets, Result};
use std::ops::{Bound, RangeBounds};
use unicode_normalization_alignments::UnicodeNormalization;
use serde::{Deserialize, Serialize};
/// Add or Substract a signed isize on a usize. Makes sure of avoiding
/// any substraction overflow, flooring at 0.
macro_rul... | tokenizers/tokenizers/src/tokenizer/normalizer.rs/0 | {
"file_path": "tokenizers/tokenizers/src/tokenizer/normalizer.rs",
"repo_id": "tokenizers",
"token_count": 40323
} | 237 |
use tokenizers::models::bpe::{BpeTrainerBuilder, BPE};
use tokenizers::normalizers::{Sequence, Strip, NFC};
use tokenizers::pre_tokenizers::byte_level::ByteLevel;
use tokenizers::{AddedToken, TokenizerBuilder};
use tokenizers::{DecoderWrapper, NormalizerWrapper, PostProcessorWrapper, PreTokenizerWrapper};
use tokenizer... | tokenizers/tokenizers/tests/documentation.rs/0 | {
"file_path": "tokenizers/tokenizers/tests/documentation.rs",
"repo_id": "tokenizers",
"token_count": 7402
} | 238 |
FROM nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04
LABEL maintainer="Hugging Face"
LABEL repository="transformers"
RUN apt update && \
apt install -y bash \
build-essential \
git \
curl \
ca-certificates \
python3 \
... | transformers/docker/transformers-gpu/Dockerfile/0 | {
"file_path": "transformers/docker/transformers-gpu/Dockerfile",
"repo_id": "transformers",
"token_count": 397
} | 239 |
- sections:
- local: index
title: 🤗 Transformers
- local: quicktour
title: Schnellstart
- local: installation
title: Installation
title: Erste Schritte
- sections:
- local: pipeline_tutorial
title: Pipelines für Inferenzen
- local: autoclass_tutorial
title: Laden von vortrainierten Inst... | transformers/docs/source/de/_toctree.yml/0 | {
"file_path": "transformers/docs/source/de/_toctree.yml",
"repo_id": "transformers",
"token_count": 457
} | 240 |
<!--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/de/testing.md/0 | {
"file_path": "transformers/docs/source/de/testing.md",
"repo_id": "transformers",
"token_count": 19302
} | 241 |
<!--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/en/model_doc/altclip.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/altclip.md",
"repo_id": "transformers",
"token_count": 1400
} | 242 |
<!--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/en/model_doc/bit.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/bit.md",
"repo_id": "transformers",
"token_count": 1005
} | 243 |
<!--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/clvp.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/clvp.md",
"repo_id": "transformers",
"token_count": 1339
} | 244 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/deit.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/deit.md",
"repo_id": "transformers",
"token_count": 1955
} | 245 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the
License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/imagegpt.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/imagegpt.md",
"repo_id": "transformers",
"token_count": 1915
} | 246 |
<!--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/en/model_doc/longt5.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/longt5.md",
"repo_id": "transformers",
"token_count": 1797
} | 247 |
<!--Copyright 2023 Mistral AI and 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/docs/source/en/model_doc/mistral.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/mistral.md",
"repo_id": "transformers",
"token_count": 2111
} | 248 |
<!--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/en/model_doc/nezha.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/nezha.md",
"repo_id": "transformers",
"token_count": 906
} | 249 |
<!--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/persimmon.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/persimmon.md",
"repo_id": "transformers",
"token_count": 1564
} | 250 |
<!--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/en/model_doc/resnet.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/resnet.md",
"repo_id": "transformers",
"token_count": 1253
} | 251 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/speech_to_text_2.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/speech_to_text_2.md",
"repo_id": "transformers",
"token_count": 1517
} | 252 |
<!--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/en/model_doc/trajectory_transformer.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/trajectory_transformer.md",
"repo_id": "transformers",
"token_count": 776
} | 253 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/vision-text-dual-encoder.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/vision-text-dual-encoder.md",
"repo_id": "transformers",
"token_count": 652
} | 254 |
<!--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/en/multilingual.md/0 | {
"file_path": "transformers/docs/source/en/multilingual.md",
"repo_id": "transformers",
"token_count": 2530
} | 255 |
<!--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/philosophy.md/0 | {
"file_path": "transformers/docs/source/en/philosophy.md",
"repo_id": "transformers",
"token_count": 1518
} | 256 |
<!--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/es/accelerate.md/0 | {
"file_path": "transformers/docs/source/es/accelerate.md",
"repo_id": "transformers",
"token_count": 1889
} | 257 |
<!---
Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/docs/source/es/performance.md/0 | {
"file_path": "transformers/docs/source/es/performance.md",
"repo_id": "transformers",
"token_count": 1751
} | 258 |
<!--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/it/big_models.md/0 | {
"file_path": "transformers/docs/source/it/big_models.md",
"repo_id": "transformers",
"token_count": 2210
} | 259 |
<!--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/it/perf_train_cpu.md/0 | {
"file_path": "transformers/docs/source/it/perf_train_cpu.md",
"repo_id": "transformers",
"token_count": 1307
} | 260 |
<!--
著作権 2023 The HuggingFace Team。全著作権所有。
Apache License、Version 2.0（以下「ライセンス」と呼びます）に基づくライセンスで、
ライセンスに従わない限り、このファイルを使用できません。
ライセンスのコピーは以下から入手できます：
http://www.apache.org/licenses/LICENSE-2.0
適用法に従うか、書面による同意がある限り、ライセンスの下でソフトウェアは配布されます。
ライセンスに基づく特定の言語での条件を確認するか、ライセンスを参照してください。
このファイルはMarkdown形式ですが、doc-builder（MDXに類似した... | transformers/docs/source/ja/autoclass_tutorial.md/0 | {
"file_path": "transformers/docs/source/ja/autoclass_tutorial.md",
"repo_id": "transformers",
"token_count": 3579
} | 261 |
<!--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
} | 262 |
<!--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/blenderbot.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/blenderbot.md",
"repo_id": "transformers",
"token_count": 2298
} | 263 |
<!--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/ja/model_doc/codegen.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/codegen.md",
"repo_id": "transformers",
"token_count": 2153
} | 264 |
<!--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/ja/model_doc/deta.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/deta.md",
"repo_id": "transformers",
"token_count": 1894
} | 265 |
<!--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/ja/perf_train_cpu.md/0 | {
"file_path": "transformers/docs/source/ja/perf_train_cpu.md",
"repo_id": "transformers",
"token_count": 1662
} | 266 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/serialization.md/0 | {
"file_path": "transformers/docs/source/ja/serialization.md",
"repo_id": "transformers",
"token_count": 4831
} | 267 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/torchscript.md/0 | {
"file_path": "transformers/docs/source/ja/torchscript.md",
"repo_id": "transformers",
"token_count": 4342
} | 268 |
<!--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/create_a_model.md/0 | {
"file_path": "transformers/docs/source/ko/create_a_model.md",
"repo_id": "transformers",
"token_count": 11662
} | 269 |
<!--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/multilingual.md/0 | {
"file_path": "transformers/docs/source/ko/multilingual.md",
"repo_id": "transformers",
"token_count": 5628
} | 270 |
<!---
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 ... | transformers/docs/source/ko/pr_checks.md/0 | {
"file_path": "transformers/docs/source/ko/pr_checks.md",
"repo_id": "transformers",
"token_count": 9042
} | 271 |
<!--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/tasks/object_detection.md/0 | {
"file_path": "transformers/docs/source/ko/tasks/object_detection.md",
"repo_id": "transformers",
"token_count": 16892
} | 272 |
<!--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/torchscript.md/0 | {
"file_path": "transformers/docs/source/ko/torchscript.md",
"repo_id": "transformers",
"token_count": 6886
} | 273 |
<!--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/pt/pipeline_tutorial.md/0 | {
"file_path": "transformers/docs/source/pt/pipeline_tutorial.md",
"repo_id": "transformers",
"token_count": 2373
} | 274 |
<!---
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 ... | transformers/docs/source/zh/contributing.md/0 | {
"file_path": "transformers/docs/source/zh/contributing.md",
"repo_id": "transformers",
"token_count": 10626
} | 275 |
<!--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/zh/main_classes/processors.md/0 | {
"file_path": "transformers/docs/source/zh/main_classes/processors.md",
"repo_id": "transformers",
"token_count": 3054
} | 276 |
<!--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/zh/task_summary.md/0 | {
"file_path": "transformers/docs/source/zh/task_summary.md",
"repo_id": "transformers",
"token_count": 11225
} | 277 |
#!/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/flax/language-modeling/run_clm_flax.py/0 | {
"file_path": "transformers/examples/flax/language-modeling/run_clm_flax.py",
"repo_id": "transformers",
"token_count": 16049
} | 278 |
import os
import sys
sys.path.insert(1, os.path.dirname(os.path.realpath(__file__)))
| transformers/examples/legacy/seq2seq/__init__.py/0 | {
"file_path": "transformers/examples/legacy/seq2seq/__init__.py",
"repo_id": "transformers",
"token_count": 34
} | 279 |
# 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/examples/legacy/seq2seq/rouge_cli.py/0 | {
"file_path": "transformers/examples/legacy/seq2seq/rouge_cli.py",
"repo_id": "transformers",
"token_count": 385
} | 280 |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | transformers/examples/legacy/token-classification/utils_ner.py/0 | {
"file_path": "transformers/examples/legacy/token-classification/utils_ner.py",
"repo_id": "transformers",
"token_count": 7657
} | 281 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | transformers/examples/pytorch/image-pretraining/run_mae.py/0 | {
"file_path": "transformers/examples/pytorch/image-pretraining/run_mae.py",
"repo_id": "transformers",
"token_count": 6396
} | 282 |
<!---
Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/examples/pytorch/question-answering/README.md/0 | {
"file_path": "transformers/examples/pytorch/question-answering/README.md",
"repo_id": "transformers",
"token_count": 2413
} | 283 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | transformers/examples/pytorch/speech-pretraining/run_wav2vec2_pretraining_no_trainer.py/0 | {
"file_path": "transformers/examples/pytorch/speech-pretraining/run_wav2vec2_pretraining_no_trainer.py",
"repo_id": "transformers",
"token_count": 13528
} | 284 |
# 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/examples/pytorch/text-classification/run_glue_no_trainer.py/0 | {
"file_path": "transformers/examples/pytorch/text-classification/run_glue_no_trainer.py",
"repo_id": "transformers",
"token_count": 11971
} | 285 |
# 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/examples/pytorch/xla_spawn.py/0 | {
"file_path": "transformers/examples/pytorch/xla_spawn.py",
"repo_id": "transformers",
"token_count": 887
} | 286 |
# coding=utf-8
# Copyright 2018 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/examples/research_projects/bertabs/convert_bertabs_original_pytorch_checkpoint.py/0 | {
"file_path": "transformers/examples/research_projects/bertabs/convert_bertabs_original_pytorch_checkpoint.py",
"repo_id": "transformers",
"token_count": 2412
} | 287 |
import logging
import os
import time
from argparse import Namespace
from pathlib import Path
import datasets
import torch
from accelerate import Accelerator, DistributedType
from accelerate.utils import ProjectConfiguration
from arguments import TrainingArguments
from datasets import load_dataset
from huggingface_hub ... | transformers/examples/research_projects/codeparrot/scripts/codeparrot_training.py/0 | {
"file_path": "transformers/examples/research_projects/codeparrot/scripts/codeparrot_training.py",
"repo_id": "transformers",
"token_count": 5418
} | 288 |
{
"activation": "gelu",
"attention_dropout": 0.1,
"dim": 768,
"dropout": 0.1,
"hidden_dim": 3072,
"initializer_range": 0.02,
"max_position_embeddings": 512,
"n_heads": 12,
"n_layers": 6,
"sinusoidal_pos_embds": true,
"tie_weights_": true,
"vocab_size": 28996
}
| transformers/examples/research_projects/distillation/training_configs/distilbert-base-cased.json/0 | {
"file_path": "transformers/examples/research_projects/distillation/training_configs/distilbert-base-cased.json",
"repo_id": "transformers",
"token_count": 134
} | 289 |
# 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-2.0
#
# Unless requir... | transformers/examples/research_projects/jax-projects/hybrid_clip/modeling_hybrid_clip.py/0 | {
"file_path": "transformers/examples/research_projects/jax-projects/hybrid_clip/modeling_hybrid_clip.py",
"repo_id": "transformers",
"token_count": 7975
} | 290 |
import unicodedata
from dataclasses import dataclass
from typing import Optional, Union
import numpy as np
from transformers.data.data_collator import DataCollatorMixin
from transformers.file_utils import PaddingStrategy
from transformers.tokenization_utils_base import PreTrainedTokenizerBase
def padding_tensor(seq... | transformers/examples/research_projects/luke/luke_utils.py/0 | {
"file_path": "transformers/examples/research_projects/luke/luke_utils.py",
"repo_id": "transformers",
"token_count": 2049
} | 291 |
# coding=utf-8
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 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... | transformers/examples/research_projects/mm-imdb/utils_mmimdb.py/0 | {
"file_path": "transformers/examples/research_projects/mm-imdb/utils_mmimdb.py",
"repo_id": "transformers",
"token_count": 2030
} | 292 |
"""
Code to remove duplicate initializers to reduce ONNX model size.
"""
import os
import numpy
import onnx
def _is_equal_tensor_proto(a, b):
name_a = a.name
name_b = b.name
a.name = ""
b.name = ""
res = a == b
a.name = name_a
b.name = name_b
return res
def _node_replace_input_... | transformers/examples/research_projects/onnx/summarization/bart_onnx/reduce_onnx_size.py/0 | {
"file_path": "transformers/examples/research_projects/onnx/summarization/bart_onnx/reduce_onnx_size.py",
"repo_id": "transformers",
"token_count": 1732
} | 293 |
# coding=utf-8
# Copyright 2021 NVIDIA Corporation. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required... | transformers/examples/research_projects/quantization-qdqbert/Dockerfile/0 | {
"file_path": "transformers/examples/research_projects/quantization-qdqbert/Dockerfile",
"repo_id": "transformers",
"token_count": 392
} | 294 |
"""
A script creating a RAG checkpoint from a generator and a question encoder checkpoints.
"""
import argparse
from pathlib import Path
from transformers import AutoConfig, AutoTokenizer, RagConfig, RagSequenceForGeneration, RagTokenForGeneration
def consolidate(
model_type,
generator_name_or_path: str,
... | transformers/examples/research_projects/rag/consolidate_rag_checkpoint.py/0 | {
"file_path": "transformers/examples/research_projects/rag/consolidate_rag_checkpoint.py",
"repo_id": "transformers",
"token_count": 1425
} | 295 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | transformers/examples/research_projects/robust-speech-event/run_speech_recognition_ctc_bnb.py/0 | {
"file_path": "transformers/examples/research_projects/robust-speech-event/run_speech_recognition_ctc_bnb.py",
"repo_id": "transformers",
"token_count": 12694
} | 296 |
#!/usr/bin/env python
import argparse
import gc
import os
import sys
from pathlib import Path
from typing import List # noqa: F401
import pytorch_lightning as pl
import torch
from finetune import SummarizationModule, TranslationModule
from finetune import main as ft_main
from make_student import create_student_by_co... | transformers/examples/research_projects/seq2seq-distillation/distillation.py/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/distillation.py",
"repo_id": "transformers",
"token_count": 6315
} | 297 |
import itertools
import json
import linecache
import math
import os
import pickle
import socket
from logging import getLogger
from pathlib import Path
from typing import Callable, Dict, Iterable, List, Tuple, Union
import git
import numpy as np
import torch
import torch.distributed as dist
from rouge_score import roug... | transformers/examples/research_projects/seq2seq-distillation/utils.py/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/utils.py",
"repo_id": "transformers",
"token_count": 10620
} | 298 |
import os
from glob import glob
import imageio
import torch
import torchvision
import wandb
from img_processing import custom_to_pil, loop_post_process, preprocess, preprocess_vqgan
from loaders import load_vqgan
from PIL import Image
from torch import nn
from transformers import CLIPModel, CLIPTokenizerFast
from uti... | transformers/examples/research_projects/vqgan-clip/VQGAN_CLIP.py/0 | {
"file_path": "transformers/examples/research_projects/vqgan-clip/VQGAN_CLIP.py",
"repo_id": "transformers",
"token_count": 4997
} | 299 |
# 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/examples/tensorflow/benchmarking/plot_csv_file.py/0 | {
"file_path": "transformers/examples/tensorflow/benchmarking/plot_csv_file.py",
"repo_id": "transformers",
"token_count": 2905
} | 300 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | transformers/examples/tensorflow/language-modeling/run_clm.py/0 | {
"file_path": "transformers/examples/tensorflow/language-modeling/run_clm.py",
"repo_id": "transformers",
"token_count": 12297
} | 301 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | transformers/examples/tensorflow/text-classification/run_text_classification.py/0 | {
"file_path": "transformers/examples/tensorflow/text-classification/run_text_classification.py",
"repo_id": "transformers",
"token_count": 10860
} | 302 |
#!/usr/bin/env bash
# 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 r... | transformers/scripts/fsmt/convert-facebook-wmt19.sh/0 | {
"file_path": "transformers/scripts/fsmt/convert-facebook-wmt19.sh",
"repo_id": "transformers",
"token_count": 1121
} | 303 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/__init__.py/0 | {
"file_path": "transformers/src/transformers/__init__.py",
"repo_id": "transformers",
"token_count": 164264
} | 304 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/commands/download.py/0 | {
"file_path": "transformers/src/transformers/commands/download.py",
"repo_id": "transformers",
"token_count": 828
} | 305 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/data/data_collator.py/0 | {
"file_path": "transformers/src/transformers/data/data_collator.py",
"repo_id": "transformers",
"token_count": 32221
} | 306 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/dynamic_module_utils.py/0 | {
"file_path": "transformers/src/transformers/dynamic_module_utils.py",
"repo_id": "transformers",
"token_count": 10973
} | 307 |
# coding=utf-8
# Copyright 2020 The Google AI Language Team Authors, Facebook AI Research authors and The HuggingFace Inc. team.
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the L... | transformers/src/transformers/generation/utils.py/0 | {
"file_path": "transformers/src/transformers/generation/utils.py",
"repo_id": "transformers",
"token_count": 112188
} | 308 |
/*!
**************************************************************************************************
* Deformable DETR
* Copyright (c) 2020 SenseTime. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 [see LICENSE for details]
***********************************************************************... | transformers/src/transformers/kernels/deformable_detr/cpu/ms_deform_attn_cpu.cpp/0 | {
"file_path": "transformers/src/transformers/kernels/deformable_detr/cpu/ms_deform_attn_cpu.cpp",
"repo_id": "transformers",
"token_count": 406
} | 309 |
#define min(a, b) ((a)<(b)?(a):(b))
#define max(a, b) ((a)>(b)?(a):(b))
#define ceil_divide(a, b) ((a)/(b)+((a)%(b)!=0))
#define select(cond, a, b) ((cond)?(a):(b))
#define PI 3.141592
#define EPSILON 1e-8
#define MAX_VAL 1e12
#define MIN_VAL -1e12
#define EMPTY_VALUE -1
| transformers/src/transformers/kernels/yoso/common.h/0 | {
"file_path": "transformers/src/transformers/kernels/yoso/common.h",
"repo_id": "transformers",
"token_count": 140
} | 310 |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | transformers/src/transformers/modeling_tf_utils.py/0 | {
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"repo_id": "transformers",
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# coding=utf-8
# Copyright 2018 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/auto/modeling_tf_auto.py/0 | {
"file_path": "transformers/src/transformers/models/auto/modeling_tf_auto.py",
"repo_id": "transformers",
"token_count": 12149
} | 312 |
# coding=utf-8
# Copyright 2021 The Fairseq Authors and The Google Flax Team Authors And The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# ... | transformers/src/transformers/models/bart/modeling_flax_bart.py/0 | {
"file_path": "transformers/src/transformers/models/bart/modeling_flax_bart.py",
"repo_id": "transformers",
"token_count": 36357
} | 313 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/models/bert/__init__.py/0 | {
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"repo_id": "transformers",
"token_count": 2639
} | 314 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/blip/processing_blip.py/0 | {
"file_path": "transformers/src/transformers/models/blip/processing_blip.py",
"repo_id": "transformers",
"token_count": 2615
} | 315 |
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