text stringlengths 7 1.24M | id stringlengths 14 166 | metadata dict | __index_level_0__ int64 0 519 |
|---|---|---|---|
# Fork that adds only the correct stream to this kernel in order
# to make cuda graphs work.
awq_commit := bd1dc2d5254345cc76ab71894651fb821275bdd4
awq:
rm -rf llm-awq
git clone https://github.com/huggingface/llm-awq
build-awq: awq
cd llm-awq/ && git fetch && git checkout $(awq_commit)
cd llm-awq/awq/kernels && p... | text-generation-inference/server/Makefile-awq/0 | {
"file_path": "text-generation-inference/server/Makefile-awq",
"repo_id": "text-generation-inference",
"token_count": 183
} | 266 |
// Adapted from turboderp exllama: https://github.com/turboderp/exllama
#ifndef _cuda_buffers_cuh
#define _cuda_buffers_cuh
#include <cuda_runtime.h>
#include <cuda_fp16.h>
#include <cstdint>
#include <cstdio>
const int CUDA_MAX_DEVICES = 16;
// #ifndef _cuda_buffers_cu
// extern __constant__ half2 q4_table[16][256... | text-generation-inference/server/exllama_kernels/exllama_kernels/cuda_buffers.cuh/0 | {
"file_path": "text-generation-inference/server/exllama_kernels/exllama_kernels/cuda_buffers.cuh",
"repo_id": "text-generation-inference",
"token_count": 471
} | 267 |
#ifndef _matrix_view_cuh
#define _matrix_view_cuh
#include <cuda_runtime.h>
#include <cuda_fp16.h>
#include "quant/qdq_util.cuh"
class MatrixView_half
{
public:
const half* data;
const int height;
const int width;
__device__ __forceinline__ MatrixView_half(const half* data, const int height, const i... | text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/matrix_view.cuh/0 | {
"file_path": "text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/matrix_view.cuh",
"repo_id": "text-generation-inference",
"token_count": 1862
} | 268 |
from setuptools import setup
from torch.utils.cpp_extension import BuildExtension, CUDAExtension
import torch
extra_cuda_cflags = ["-lineinfo", "-O3"]
if torch.version.hip:
extra_cuda_cflags += ["-DHIPBLAS_USE_HIP_HALF"]
extra_compile_args = {
"nvcc": extra_cuda_cflags,
}
setup(
name="exllamav2_kernels"... | text-generation-inference/server/exllamav2_kernels/setup.py/0 | {
"file_path": "text-generation-inference/server/exllamav2_kernels/setup.py",
"repo_id": "text-generation-inference",
"token_count": 363
} | 269 |
import torch
from text_generation_server.utils.tokens import (
StopSequenceCriteria,
StoppingCriteria,
FinishReason,
batch_top_tokens,
)
def test_stop_sequence_criteria():
criteria = StopSequenceCriteria("/test;")
assert not criteria("/")
assert not criteria("/test")
assert criteria("... | text-generation-inference/server/tests/utils/test_tokens.py/0 | {
"file_path": "text-generation-inference/server/tests/utils/test_tokens.py",
"repo_id": "text-generation-inference",
"token_count": 1427
} | 270 |
from typing import Optional
from contextvars import ContextVar
from contextlib import contextmanager
import flashinfer
import torch
prefill_state: ContextVar[flashinfer.BatchPrefillWithRaggedKVCacheWrapper] = ContextVar(
"prefill_state"
)
prefill_with_paged_kv_state: ContextVar[
flashinfer.BatchPrefillWithPa... | text-generation-inference/server/text_generation_server/layers/attention/flashinfer.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/layers/attention/flashinfer.py",
"repo_id": "text-generation-inference",
"token_count": 3150
} | 271 |
import torch
# copied from https://github.com/openppl-public/ppq/blob/master/ppq/quantization/measure/norm.py
def torch_snr_error(
y_pred: torch.Tensor, y_real: torch.Tensor, reduction: str = "mean"
) -> torch.Tensor:
"""
Compute SNR between y_pred(tensor) and y_real(tensor)
SNR can be calcualted as ... | text-generation-inference/server/text_generation_server/layers/gptq/utils.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/layers/gptq/utils.py",
"repo_id": "text-generation-inference",
"token_count": 742
} | 272 |
import torch
import time
import torch.distributed
from dataclasses import dataclass
from opentelemetry import trace
from transformers import (
AutoConfig,
AutoTokenizer,
AutoModelForCausalLM,
PreTrainedTokenizerBase,
)
from typing import Optional, Tuple, List, Type, Dict
from text_generation_server.ut... | text-generation-inference/server/text_generation_server/models/causal_lm.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/causal_lm.py",
"repo_id": "text-generation-inference",
"token_count": 16948
} | 273 |
import torch
import torch.distributed
from torch import nn
from transformers.activations import ACT2FN
from transformers.configuration_utils import PretrainedConfig
from typing import Optional, List, Tuple
from text_generation_server.layers.attention import (
paged_attention,
attention,
reshape_and_cache,... | text-generation-inference/server/text_generation_server/models/custom_modeling/flash_phi_modeling.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/flash_phi_modeling.py",
"repo_id": "text-generation-inference",
"token_count": 6605
} | 274 |
# coding=utf-8
# Copyright 2022 The Fairseq Authors and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/... | text-generation-inference/server/text_generation_server/models/custom_modeling/opt_modeling.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/opt_modeling.py",
"repo_id": "text-generation-inference",
"token_count": 15778
} | 275 |
# Origin: https://github.com/predibase/lorax
# Path: lorax/server/lorax_server/utils/segments.py
# License: Apache License Version 2.0, January 2004
from typing import List, Tuple, Union
import torch
def find_segments(
adapter_indices: Union[torch.Tensor, List[int]]
) -> Tuple[List[int], List[int]]:
... | text-generation-inference/server/text_generation_server/utils/segments.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/utils/segments.py",
"repo_id": "text-generation-inference",
"token_count": 1081
} | 276 |
exclude = ["node_modules/**/*.toml"]
# https://taplo.tamasfe.dev/configuration/formatter-options.html
[formatting]
align_entries = true
indent_tables = true
reorder_keys = true
| tokenizers/bindings/node/.taplo.toml/0 | {
"file_path": "tokenizers/bindings/node/.taplo.toml",
"repo_id": "tokenizers",
"token_count": 66
} | 277 |
import {
bpeDecoder,
byteFallbackDecoder,
ctcDecoder,
fuseDecoder,
metaspaceDecoder,
replaceDecoder,
sequenceDecoder,
stripDecoder,
wordPieceDecoder,
} from '../../'
describe('wordPieceDecoder', () => {
it('accepts `undefined` as first parameter', () => {
expect(wordPieceDecoder(undefined)).toB... | tokenizers/bindings/node/lib/bindings/decoders.test.ts/0 | {
"file_path": "tokenizers/bindings/node/lib/bindings/decoders.test.ts",
"repo_id": "tokenizers",
"token_count": 1393
} | 278 |
# `tokenizers-freebsd-x64`
This is the **x86_64-unknown-freebsd** binary for `tokenizers`
| tokenizers/bindings/node/npm/freebsd-x64/README.md/0 | {
"file_path": "tokenizers/bindings/node/npm/freebsd-x64/README.md",
"repo_id": "tokenizers",
"token_count": 36
} | 279 |
# `tokenizers-win32-x64-msvc`
This is the **x86_64-pc-windows-msvc** binary for `tokenizers`
| tokenizers/bindings/node/npm/win32-x64-msvc/README.md/0 | {
"file_path": "tokenizers/bindings/node/npm/win32-x64-msvc/README.md",
"repo_id": "tokenizers",
"token_count": 39
} | 280 |
use crate::models::Model;
use napi_derive::napi;
use std::sync::{Arc, RwLock};
use tokenizers as tk;
use tokenizers::models::TrainerWrapper;
#[napi]
pub struct Trainer {
trainer: Option<Arc<RwLock<TrainerWrapper>>>,
}
impl From<TrainerWrapper> for Trainer {
fn from(trainer: TrainerWrapper) -> Self {
Self {
... | tokenizers/bindings/node/src/trainers.rs/0 | {
"file_path": "tokenizers/bindings/node/src/trainers.rs",
"repo_id": "tokenizers",
"token_count": 641
} | 281 |
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
} | 282 |
# 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.
"""
def... | 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": 7626
} | 283 |
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": 4110
} | 284 |
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": 4930
} | 285 |
from tokenizers import Tokenizer
from ..utils import data_dir, doc_pipeline_bert_tokenizer, doc_wiki_tokenizer
disable_printing = True
original_print = print
def print(*args, **kwargs):
if not disable_printing:
original_print(*args, **kwargs)
class TestPipeline:
def test_pipeline(self, doc_wiki_to... | tokenizers/bindings/python/tests/documentation/test_pipeline.py/0 | {
"file_path": "tokenizers/bindings/python/tests/documentation/test_pipeline.py",
"repo_id": "tokenizers",
"token_count": 3351
} | 286 |
# Encode Inputs
<tokenizerslangcontent>
<python>
These types represent all the different kinds of input that a [`~tokenizers.Tokenizer`] accepts
when using [`~tokenizers.Tokenizer.encode_batch`].
## TextEncodeInput[[[[tokenizers.TextEncodeInput]]]]
<code>tokenizers.TextEncodeInput</code>
Represents a textual input ... | tokenizers/docs/source-doc-builder/api/encode-inputs.mdx/0 | {
"file_path": "tokenizers/docs/source-doc-builder/api/encode-inputs.mdx",
"repo_id": "tokenizers",
"token_count": 716
} | 287 |
from collections import defaultdict, abc
from typing import cast
from docutils import nodes
from docutils.parsers.rst import Directive
import sphinx
from sphinx.locale import _
from sphinx.util.docutils import SphinxDirective
from sphinx.errors import ExtensionError
from conf import languages as LANGUAGES
logger = ... | tokenizers/docs/source/_ext/entities.py/0 | {
"file_path": "tokenizers/docs/source/_ext/entities.py",
"repo_id": "tokenizers",
"token_count": 4032
} | 288 |
.. entities:: python
:global:
class
class
classmethod
class method
Tokenizer
:class:`~tokenizers.Tokenizer`
Tokenizer.train
:meth:`~tokenizers.Tokenizer.train`
Tokenizer.save
:meth:`~tokenizers.Tokenizer.save`
Tokenizer.from_file
:meth:`~toke... | tokenizers/docs/source/entities.inc/0 | {
"file_path": "tokenizers/docs/source/entities.inc",
"repo_id": "tokenizers",
"token_count": 2078
} | 289 |
#[macro_use]
extern crate criterion;
mod common;
use std::fs::File;
use std::io::{BufRead, BufReader};
use std::path::Path;
use criterion::Criterion;
use tokenizers::models::bpe::{BpeTrainerBuilder, BPE};
use tokenizers::models::TrainerWrapper;
use tokenizers::pre_tokenizers::byte_level::ByteLevel;
use tokenizers::p... | tokenizers/tokenizers/benches/bpe_benchmark.rs/0 | {
"file_path": "tokenizers/tokenizers/benches/bpe_benchmark.rs",
"repo_id": "tokenizers",
"token_count": 1631
} | 290 |
use crate::tokenizer::{Decoder, Result};
use serde::{Deserialize, Serialize};
#[derive(Deserialize, Clone, Debug, Serialize, Default)]
/// Strip is a simple trick which converts tokens looking like `<0x61>`
/// to pure bytes, and attempts to make them into a string. If the tokens
/// cannot be decoded you will get � ... | tokenizers/tokenizers/src/decoders/strip.rs/0 | {
"file_path": "tokenizers/tokenizers/src/decoders/strip.rs",
"repo_id": "tokenizers",
"token_count": 1217
} | 291 |
use super::{super::OrderedVocabIter, WordLevel, WordLevelBuilder};
use serde::{
de::{MapAccess, Visitor},
ser::SerializeStruct,
Deserialize, Deserializer, Serialize, Serializer,
};
use std::collections::HashSet;
impl Serialize for WordLevel {
fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Er... | tokenizers/tokenizers/src/models/wordlevel/serialization.rs/0 | {
"file_path": "tokenizers/tokenizers/src/models/wordlevel/serialization.rs",
"repo_id": "tokenizers",
"token_count": 2084
} | 292 |
use serde::{Deserialize, Serialize};
use crate::tokenizer::{PreTokenizedString, PreTokenizer, Result, SplitDelimiterBehavior};
use crate::utils::macro_rules_attribute;
#[derive(Copy, Clone, Debug, PartialEq, Eq)]
#[non_exhaustive]
#[macro_rules_attribute(impl_serde_type!)]
pub struct CharDelimiterSplit {
pub deli... | tokenizers/tokenizers/src/pre_tokenizers/delimiter.rs/0 | {
"file_path": "tokenizers/tokenizers/src/pre_tokenizers/delimiter.rs",
"repo_id": "tokenizers",
"token_count": 296
} | 293 |
use super::{
normalizer::Range, Model, NormalizedString, Normalizer, Offsets, PreTokenizedString, Token,
};
use aho_corasick::{AhoCorasick, AhoCorasickBuilder, MatchKind};
use regex::Regex;
use serde::{ser::SerializeSeq, Deserialize, Serialize, Serializer};
use std::collections::{HashMap, HashSet};
/// Represent a... | tokenizers/tokenizers/src/tokenizer/added_vocabulary.rs/0 | {
"file_path": "tokenizers/tokenizers/src/tokenizer/added_vocabulary.rs",
"repo_id": "tokenizers",
"token_count": 17733
} | 294 |
use crate::tokenizer::{Encoding, Result};
use serde::{Deserialize, Serialize};
use std::cmp;
use std::mem;
#[derive(Debug, Clone, Copy, PartialEq, Serialize, Deserialize, Eq, Default)]
pub enum TruncationDirection {
Left,
#[default]
Right,
}
impl std::convert::AsRef<str> for TruncationDirection {
fn a... | tokenizers/tokenizers/src/utils/truncation.rs/0 | {
"file_path": "tokenizers/tokenizers/src/utils/truncation.rs",
"repo_id": "tokenizers",
"token_count": 5473
} | 295 |
# Security Policy
## Hugging Face Hub, remote artefacts, and remote code
Transformers is open-source software that is tightly coupled to the Hugging Face Hub. While you have the ability to use it
offline with pre-downloaded model weights, it provides a very simple way to download, use, and manage models locally.
Whe... | transformers/SECURITY.md/0 | {
"file_path": "transformers/SECURITY.md",
"repo_id": "transformers",
"token_count": 553
} | 296 |
FROM python:3.10-slim
ENV PYTHONDONTWRITEBYTECODE=1
ARG REF=main
USER root
RUN apt-get update && apt-get install -y --no-install-recommends libsndfile1-dev espeak-ng time git g++ pkg-config openssh-client git
RUN apt-get install -y cmake
ENV UV_PYTHON=/usr/local/bin/python
RUN pip --no-cache-dir install uv && uv venv... | transformers/docker/tf-light.dockerfile/0 | {
"file_path": "transformers/docker/tf-light.dockerfile",
"repo_id": "transformers",
"token_count": 277
} | 297 |
#!/bin/bash
source ~/.bashrc
echo "running docker-entrypoint.sh"
conda activate container
echo $KUBE_GOOGLE_CLOUD_TPU_ENDPOINTS
echo "printed TPU info"
export XRT_TPU_CONFIG="tpu_worker;0;${KUBE_GOOGLE_CLOUD_TPU_ENDPOINTS:7}"
exec "$@"#!/bin/bash
| transformers/docker/transformers-pytorch-tpu/docker-entrypoint.sh/0 | {
"file_path": "transformers/docker/transformers-pytorch-tpu/docker-entrypoint.sh",
"repo_id": "transformers",
"token_count": 112
} | 298 |
<!--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/de/model_sharing.md/0 | {
"file_path": "transformers/docs/source/de/model_sharing.md",
"repo_id": "transformers",
"token_count": 4287
} | 299 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/agents.md/0 | {
"file_path": "transformers/docs/source/en/agents.md",
"repo_id": "transformers",
"token_count": 7222
} | 300 |
<!--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/generation_strategies.md/0 | {
"file_path": "transformers/docs/source/en/generation_strategies.md",
"repo_id": "transformers",
"token_count": 8119
} | 301 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to... | transformers/docs/source/en/llm_optims.md/0 | {
"file_path": "transformers/docs/source/en/llm_optims.md",
"repo_id": "transformers",
"token_count": 6884
} | 302 |
<!--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/main_classes/output.md/0 | {
"file_path": "transformers/docs/source/en/main_classes/output.md",
"repo_id": "transformers",
"token_count": 2785
} | 303 |
<!--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/bartpho.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/bartpho.md",
"repo_id": "transformers",
"token_count": 1166
} | 304 |
<!--Copyright 2023 The Intel Labs Team Authors, The Microsoft Research Team 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... | transformers/docs/source/en/model_doc/bridgetower.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/bridgetower.md",
"repo_id": "transformers",
"token_count": 2392
} | 305 |
<!--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/convnext.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/convnext.md",
"repo_id": "transformers",
"token_count": 1215
} | 306 |
<!--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/ernie.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/ernie.md",
"repo_id": "transformers",
"token_count": 1417
} | 307 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agree... | transformers/docs/source/en/model_doc/gemma2.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/gemma2.md",
"repo_id": "transformers",
"token_count": 736
} | 308 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/hiera.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/hiera.md",
"repo_id": "transformers",
"token_count": 1119
} | 309 |
<!--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/layoutxlm.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/layoutxlm.md",
"repo_id": "transformers",
"token_count": 981
} | 310 |
<!--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/mms.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/mms.md",
"repo_id": "transformers",
"token_count": 4924
} | 311 |
<!--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/nllb-moe.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/nllb-moe.md",
"repo_id": "transformers",
"token_count": 2003
} | 312 |
<!--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/perceiver.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/perceiver.md",
"repo_id": "transformers",
"token_count": 2762
} | 313 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/qwen2_vl.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/qwen2_vl.md",
"repo_id": "transformers",
"token_count": 4619
} | 314 |
<!--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/vit.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/vit.md",
"repo_id": "transformers",
"token_count": 3788
} | 315 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/xlm-prophetnet.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/xlm-prophetnet.md",
"repo_id": "transformers",
"token_count": 1218
} | 316 |
<!--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/pipeline_tutorial.md/0 | {
"file_path": "transformers/docs/source/en/pipeline_tutorial.md",
"repo_id": "transformers",
"token_count": 5056
} | 317 |
<!--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/quicktour.md/0 | {
"file_path": "transformers/docs/source/en/quicktour.md",
"repo_id": "transformers",
"token_count": 8297
} | 318 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/tasks/mask_generation.md/0 | {
"file_path": "transformers/docs/source/en/tasks/mask_generation.md",
"repo_id": "transformers",
"token_count": 2851
} | 319 |
<!--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/tasks/zero_shot_image_classification.md/0 | {
"file_path": "transformers/docs/source/en/tasks/zero_shot_image_classification.md",
"repo_id": "transformers",
"token_count": 1801
} | 320 |
<!--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/autoclass_tutorial.md/0 | {
"file_path": "transformers/docs/source/es/autoclass_tutorial.md",
"repo_id": "transformers",
"token_count": 2066
} | 321 |
<!---
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
} | 322 |
<!--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/tasks/multiple_choice.md/0 | {
"file_path": "transformers/docs/source/es/tasks/multiple_choice.md",
"repo_id": "transformers",
"token_count": 4169
} | 323 |
<!--⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
rendered properly in your Markdown viewer.
-->
# Pipelines pour l'inférence
L'objet [`pipeline`] rend simple l'utilisation de n'importe quel modèle du [Hub](https://huggingface.co/models) pour l'... | transformers/docs/source/fr/tutoriel_pipeline.md/0 | {
"file_path": "transformers/docs/source/fr/tutoriel_pipeline.md",
"repo_id": "transformers",
"token_count": 6226
} | 324 |
<!---
Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/docs/source/it/installation.md/0 | {
"file_path": "transformers/docs/source/it/installation.md",
"repo_id": "transformers",
"token_count": 3586
} | 325 |
<!--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/quicktour.md/0 | {
"file_path": "transformers/docs/source/it/quicktour.md",
"repo_id": "transformers",
"token_count": 6490
} | 326 |
<!--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/llm_tutorial.md/0 | {
"file_path": "transformers/docs/source/ja/llm_tutorial.md",
"repo_id": "transformers",
"token_count": 5622
} | 327 |
<!--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/main_classes/quantization.md/0 | {
"file_path": "transformers/docs/source/ja/main_classes/quantization.md",
"repo_id": "transformers",
"token_count": 10651
} | 328 |
<!--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/bert-japanese.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/bert-japanese.md",
"repo_id": "transformers",
"token_count": 1114
} | 329 |
<!--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/camembert.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/camembert.md",
"repo_id": "transformers",
"token_count": 1743
} | 330 |
<!--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/cvt.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/cvt.md",
"repo_id": "transformers",
"token_count": 2379
} | 331 |
<!--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/pad_truncation.md/0 | {
"file_path": "transformers/docs/source/ja/pad_truncation.md",
"repo_id": "transformers",
"token_count": 4228
} | 332 |
<!--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/perplexity.md/0 | {
"file_path": "transformers/docs/source/ja/perplexity.md",
"repo_id": "transformers",
"token_count": 4045
} | 333 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/tasks/image_to_image.md/0 | {
"file_path": "transformers/docs/source/ja/tasks/image_to_image.md",
"repo_id": "transformers",
"token_count": 2420
} | 334 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/tasks/visual_question_answering.md/0 | {
"file_path": "transformers/docs/source/ja/tasks/visual_question_answering.md",
"repo_id": "transformers",
"token_count": 7952
} | 335 |
<!--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/ko/add_new_pipeline.md/0 | {
"file_path": "transformers/docs/source/ko/add_new_pipeline.md",
"repo_id": "transformers",
"token_count": 7731
} | 336 |
<!--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/hpo_train.md/0 | {
"file_path": "transformers/docs/source/ko/hpo_train.md",
"repo_id": "transformers",
"token_count": 3520
} | 337 |
<!--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 to... | transformers/docs/source/ko/peft.md/0 | {
"file_path": "transformers/docs/source/ko/peft.md",
"repo_id": "transformers",
"token_count": 5059
} | 338 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ko/quantization/bitsandbytes.md/0 | {
"file_path": "transformers/docs/source/ko/quantization/bitsandbytes.md",
"repo_id": "transformers",
"token_count": 8138
} | 339 |
<!--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/tasks/image_to_image.md/0 | {
"file_path": "transformers/docs/source/ko/tasks/image_to_image.md",
"repo_id": "transformers",
"token_count": 3237
} | 340 |
<!--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/tasks/visual_question_answering.md/0 | {
"file_path": "transformers/docs/source/ko/tasks/visual_question_answering.md",
"repo_id": "transformers",
"token_count": 11287
} | 341 |
- sections:
- local: index
title: 🤗 Transformers
- local: quicktour
title: Tour rápido
- local: installation
title: Instalação
title: Início
- sections:
- local: pipeline_tutorial
title: Pipelines para inferência
- local: training
title: Fine-tuning de um modelo pré-treinado
- local: ... | transformers/docs/source/pt/_toctree.yml/0 | {
"file_path": "transformers/docs/source/pt/_toctree.yml",
"repo_id": "transformers",
"token_count": 424
} | 342 |
- sections:
- local: index
title: 🤗 Transformers
- local: quicktour
title: త్వరిత పర్యటన
title: ప్రారంభించడానికి
| transformers/docs/source/te/_toctree.yml/0 | {
"file_path": "transformers/docs/source/te/_toctree.yml",
"repo_id": "transformers",
"token_count": 125
} | 343 |
<!--
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 agree... | transformers/docs/source/zh/fsdp.md/0 | {
"file_path": "transformers/docs/source/zh/fsdp.md",
"repo_id": "transformers",
"token_count": 4055
} | 344 |
<!--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/zh/tflite.md/0 | {
"file_path": "transformers/docs/source/zh/tflite.md",
"repo_id": "transformers",
"token_count": 1386
} | 345 |
# Image Captioning (vision-encoder-text-decoder model) training example
The following example showcases how to finetune a vision-encoder-text-decoder model for image captioning
using the JAX/Flax backend, leveraging 🤗 Transformers library's [FlaxVisionEncoderDecoderModel](https://huggingface.co/docs/transformers/mode... | transformers/examples/flax/image-captioning/README.md/0 | {
"file_path": "transformers/examples/flax/image-captioning/README.md",
"repo_id": "transformers",
"token_count": 1084
} | 346 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | transformers/examples/flax/speech-recognition/run_flax_speech_recognition_seq2seq.py/0 | {
"file_path": "transformers/examples/flax/speech-recognition/run_flax_speech_recognition_seq2seq.py",
"repo_id": "transformers",
"token_count": 15150
} | 347 |
# 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/benchmarking/plot_csv_file.py/0 | {
"file_path": "transformers/examples/legacy/benchmarking/plot_csv_file.py",
"repo_id": "transformers",
"token_count": 2909
} | 348 |
#!/usr/bin/env python
import argparse
import json
from typing import List
from ltp import LTP
from transformers import BertTokenizer
def _is_chinese_char(cp):
"""Checks whether CP is the codepoint of a CJK character."""
# This defines a "chinese character" as anything in the CJK Unicode block:
# https... | transformers/examples/legacy/run_chinese_ref.py/0 | {
"file_path": "transformers/examples/legacy/run_chinese_ref.py",
"repo_id": "transformers",
"token_count": 2389
} | 349 |
# 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/old_test_seq2seq_examples.py/0 | {
"file_path": "transformers/examples/legacy/seq2seq/old_test_seq2seq_examples.py",
"repo_id": "transformers",
"token_count": 2127
} | 350 |
{
"en-ru": {
"src": [
"Welsh AMs worried about 'looking like muppets'",
"There is consternation among some AMs at a suggestion their title should change to MWPs (Member of the Welsh Parliament).",
"It has arisen because of plans to change the name of the assembly to the Welsh Parliament.",
... | transformers/examples/legacy/seq2seq/test_data/fsmt/fsmt_val_data.json/0 | {
"file_path": "transformers/examples/legacy/seq2seq/test_data/fsmt/fsmt_val_data.json",
"repo_id": "transformers",
"token_count": 4034
} | 351 |
## The relevant files are currently on a shared Google
## drive at https://drive.google.com/drive/folders/1kC0I2UGl2ltrluI9NqDjaQJGw5iliw_J
## Monitor for changes and eventually migrate to use the `datasets` library
curl -L 'https://drive.google.com/uc?export=download&id=1Jjhbal535VVz2ap4v4r_rN1UEHTdLK5P' \
| grep -v "... | transformers/examples/legacy/token-classification/run.sh/0 | {
"file_path": "transformers/examples/legacy/token-classification/run.sh",
"repo_id": "transformers",
"token_count": 648
} | 352 |
<!---
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/image-classification/README.md/0 | {
"file_path": "transformers/examples/pytorch/image-classification/README.md",
"repo_id": "transformers",
"token_count": 2873
} | 353 |
#!/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/language-modeling/run_clm_no_trainer.py/0 | {
"file_path": "transformers/examples/pytorch/language-modeling/run_clm_no_trainer.py",
"repo_id": "transformers",
"token_count": 12859
} | 354 |
<!---
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": 2435
} | 355 |
#!/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": 14055
} | 356 |
# 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": 12239
} | 357 |
# 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
} | 358 |
# 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": 2417
} | 359 |
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
} | 360 |
{
"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
} | 361 |
# 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": 7791
} | 362 |
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
} | 363 |
# 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
} | 364 |
"""
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
} | 365 |
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