text stringlengths 7 328k | id stringlengths 14 166 | metadata dict | __index_level_0__ int64 0 459 |
|---|---|---|---|
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 1,
"logprob": null,
"text": "<s>"
},
{
"id": 4321,
"logprob": -9.84375,
"text": "Test"
},
{
"id": 2009... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_llama_gptq/test_flash_llama_gptq_all_params.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_llama_gptq/test_flash_llama_gptq_all_params.json",
"repo_id": "text-generation-inference",
"token_count": 1035
} | 206 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 2271,
"logprob": null,
"text": "Test"
},
{
"id": 1681,
"logprob": -8.8515625,
"text": " request"
}
],
"seed"... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_qwen2/test_flash_qwen2_all_params.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_qwen2/test_flash_qwen2_all_params.json",
"repo_id": "text-generation-inference",
"token_count": 999
} | 207 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [],
"seed": null,
"tokens": [
{
"id": 187,
"logprob": -0.37890625,
"special": false,
"text": "\n"
},
{
"id": 187,
"logprob":... | text-generation-inference/integration-tests/models/__snapshots__/test_mamba/test_mamba.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_mamba/test_mamba.json",
"repo_id": "text-generation-inference",
"token_count": 860
} | 208 |
{
"choices": [
{
"finish_reason": "eos_token",
"index": 0,
"logprobs": null,
"message": {
"content": null,
"name": null,
"role": "assistant",
"tool_calls": {
"function": {
"description": null,
"name": "tools",
"p... | text-generation-inference/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools_auto.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools_auto.json",
"repo_id": "text-generation-inference",
"token_count": 469
} | 209 |
import pytest
@pytest.fixture(scope="module")
def flash_phi_handle(launcher):
with launcher("microsoft/phi-2", num_shard=1) as handle:
yield handle
@pytest.fixture(scope="module")
async def flash_phi(flash_phi_handle):
await flash_phi_handle.health(300)
return flash_phi_handle.client
@pytest.m... | text-generation-inference/integration-tests/models/test_flash_phi.py/0 | {
"file_path": "text-generation-inference/integration-tests/models/test_flash_phi.py",
"repo_id": "text-generation-inference",
"token_count": 725
} | 210 |
[tool.poetry]
name = "text-generation-integration-tests"
version = "1.4.3"
description = "Text Generation Inference integration tests"
authors = ["Nicolas Patry <nicolas@huggingface.co>"]
[tool.poetry.dependencies]
python = ">=3.9,<3.13"
syrupy = "4.0.1"
text-generation = "^0.6.0"
pytest = "^7.4.0"
pytest-asyncio = "^... | text-generation-inference/integration-tests/pyproject.toml/0 | {
"file_path": "text-generation-inference/integration-tests/pyproject.toml",
"repo_id": "text-generation-inference",
"token_count": 151
} | 211 |
use std::fs;
fn main() -> Result<(), Box<dyn std::error::Error>> {
println!("cargo:rerun-if-changed=../../proto/generate.proto");
fs::create_dir("src/pb").unwrap_or(());
let mut config = prost_build::Config::new();
config.protoc_arg("--experimental_allow_proto3_optional");
tonic_build::configure(... | text-generation-inference/router/client/build.rs/0 | {
"file_path": "text-generation-inference/router/client/build.rs",
"repo_id": "text-generation-inference",
"token_count": 270
} | 212 |
// Adapted from turboderp exllama: https://github.com/turboderp/exllama
#ifndef _column_remap_cuh
#define _column_remap_cuh
#include <cuda_runtime.h>
#include <cuda_fp16.h>
#include <cstdint>
void column_remap_cuda
(
const half* x,
half* x_new,
const int x_height,
const int x_width,
const uint32_... | text-generation-inference/server/exllama_kernels/exllama_kernels/cuda_func/column_remap.cuh/0 | {
"file_path": "text-generation-inference/server/exllama_kernels/exllama_kernels/cuda_func/column_remap.cuh",
"repo_id": "text-generation-inference",
"token_count": 153
} | 213 |
#ifndef _q_gemm_cuh
#define _q_gemm_cuh
#include <cuda_runtime.h>
#include <cuda_fp16.h>
#include <cstdint>
#include <cstdio>
#include <ATen/cuda/CUDAContext.h>
#include "q_matrix.cuh"
void gemm_half_q_half_cuda
(
cublasHandle_t cublas_handle,
const half* a,
QMatrix* b,
half* c,
int size_m,
i... | text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/q_gemm.cuh/0 | {
"file_path": "text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/q_gemm.cuh",
"repo_id": "text-generation-inference",
"token_count": 294
} | 214 |
[tool.poetry]
name = "text-generation-server"
version = "1.4.3"
description = "Text Generation Inference Python gRPC Server"
authors = ["Olivier Dehaene <olivier@huggingface.co>"]
[tool.poetry.scripts]
text-generation-server = 'text_generation_server.cli:app'
[tool.poetry.dependencies]
python = ">=3.9,<3.13"
protobuf... | text-generation-inference/server/pyproject.toml/0 | {
"file_path": "text-generation-inference/server/pyproject.toml",
"repo_id": "text-generation-inference",
"token_count": 777
} | 215 |
import torch
from typing import Dict, Optional, TypeVar
from text_generation_server.models.types import Batch
B = TypeVar("B", bound=Batch)
class Cache:
def __init__(self):
self.cache: Dict[int, B] = {}
def pop(self, batch_id: int) -> Optional[B]:
return self.cache.pop(batch_id, None)
... | text-generation-inference/server/text_generation_server/cache.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/cache.py",
"repo_id": "text-generation-inference",
"token_count": 359
} | 216 |
import torch
import torch.distributed
from torch import nn
from transformers.modeling_utils import PreTrainedModel
from transformers.configuration_utils import PretrainedConfig
from typing import Optional, List, Tuple
from text_generation_server.utils import paged_attention, flash_attn
from text_generation_server.uti... | text-generation-inference/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py",
"repo_id": "text-generation-inference",
"token_count": 10010
} | 217 |
import torch
import torch.distributed
from opentelemetry import trace
from typing import Optional
from text_generation_server.models import FlashCausalLM
from text_generation_server.models.custom_modeling.flash_gemma_modeling import (
GemmaTokenizerFast,
FlashGemmaForCausalLM,
GemmaConfig,
)
from text_gen... | text-generation-inference/server/text_generation_server/models/flash_gemma.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/flash_gemma.py",
"repo_id": "text-generation-inference",
"token_count": 1094
} | 218 |
import inspect
import torch
from abc import ABC, abstractmethod
from typing import List, Tuple, Optional, TypeVar, Type
from transformers import PreTrainedTokenizerBase, PretrainedConfig
from text_generation_server.models.types import Batch, Generation
from text_generation_server.utils.speculate import get_speculate
... | text-generation-inference/server/text_generation_server/models/model.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/model.py",
"repo_id": "text-generation-inference",
"token_count": 1674
} | 219 |
import os
import torch
from datetime import timedelta
from loguru import logger
# Tensor Parallelism settings
RANK = int(os.getenv("RANK", "0"))
WORLD_SIZE = int(os.getenv("WORLD_SIZE", "1"))
# CUDA memory fraction
MEMORY_FRACTION = float(os.getenv("CUDA_MEMORY_FRACTION", "1.0"))
class FakeBarrier:
def wait(se... | text-generation-inference/server/text_generation_server/utils/dist.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/utils/dist.py",
"repo_id": "text-generation-inference",
"token_count": 1042
} | 220 |
# coding=utf-8
# Copyright 2023 Authors of "A Watermark for Large Language Models"
# available at https://arxiv.org/abs/2301.10226
#
# 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... | text-generation-inference/server/text_generation_server/utils/watermark.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/utils/watermark.py",
"repo_id": "text-generation-inference",
"token_count": 1489
} | 221 |
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: HuggingFace's Tokenizers
message: >-
Fast State-of-the-Art Tokenizers optimized for Research
and Production.
type: software
authors:
- given-names: Anthony
family-names: Moi
... | tokenizers/CITATION.cff/0 | {
"file_path": "tokenizers/CITATION.cff",
"repo_id": "tokenizers",
"token_count": 293
} | 222 |
<p align="center">
<br>
<img src="https://huggingface.co/landing/assets/tokenizers/tokenizers-logo.png" width="600"/>
<br>
<p>
<p align="center">
<a href="https://badge.fury.io/js/tokenizers">
<img alt="Build" src="https://badge.fury.io/js/tokenizers.svg">
</a>
<a href="https://github.com/huggingface/to... | tokenizers/bindings/node/README.md/0 | {
"file_path": "tokenizers/bindings/node/README.md",
"repo_id": "tokenizers",
"token_count": 651
} | 223 |
/* eslint-disable @typescript-eslint/no-explicit-any */
/* eslint-disable @typescript-eslint/no-empty-function */
import { TruncationStrategy, BPE, Encoding, AddedToken, Tokenizer } from '../../'
// jest.mock('../../bindings/tokenizer');
// jest.mock('../../bindings/models', () => ({
// __esModule: true,
// Model... | tokenizers/bindings/node/lib/bindings/tokenizer.test.ts/0 | {
"file_path": "tokenizers/bindings/node/lib/bindings/tokenizer.test.ts",
"repo_id": "tokenizers",
"token_count": 5268
} | 224 |
# `tokenizers-linux-arm64-musl`
This is the **aarch64-unknown-linux-musl** binary for `tokenizers`
| tokenizers/bindings/node/npm/linux-arm64-musl/README.md/0 | {
"file_path": "tokenizers/bindings/node/npm/linux-arm64-musl/README.md",
"repo_id": "tokenizers",
"token_count": 37
} | 225 |
use crate::tokenizer::PaddingOptions;
use napi::bindgen_prelude::*;
use napi_derive::napi;
use tokenizers::utils::truncation::TruncationDirection;
use tokenizers::Encoding;
#[napi(js_name = "Encoding")]
#[derive(Clone, Default)]
pub struct JsEncoding {
pub(crate) encoding: Option<Encoding>,
}
impl From<Encoding> fo... | tokenizers/bindings/node/src/encoding.rs/0 | {
"file_path": "tokenizers/bindings/node/src/encoding.rs",
"repo_id": "tokenizers",
"token_count": 3778
} | 226 |
# Generated content DO NOT EDIT
class Decoder:
"""
Base class for all decoders
This class is not supposed to be instantiated directly. Instead, any implementation of
a Decoder will return an instance of this class when instantiated.
"""
def decode(self, tokens):
"""
Decode the g... | tokenizers/bindings/python/py_src/tokenizers/decoders/__init__.pyi/0 | {
"file_path": "tokenizers/bindings/python/py_src/tokenizers/decoders/__init__.pyi",
"repo_id": "tokenizers",
"token_count": 3115
} | 227 |
from .visualizer import Annotation, EncodingVisualizer
| tokenizers/bindings/python/py_src/tokenizers/tools/__init__.py/0 | {
"file_path": "tokenizers/bindings/python/py_src/tokenizers/tools/__init__.py",
"repo_id": "tokenizers",
"token_count": 13
} | 228 |
use std::sync::{Arc, RwLock};
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::types::*;
use crate::error::ToPyResult;
use crate::utils::{PyNormalizedString, PyNormalizedStringRefMut, PyPattern};
use serde::ser::SerializeStruct;
use serde::{Deserialize, Deserializer, Serialize, Serializer};
use tk::normalizers::... | tokenizers/bindings/python/src/normalizers.rs/0 | {
"file_path": "tokenizers/bindings/python/src/normalizers.rs",
"repo_id": "tokenizers",
"token_count": 11191
} | 229 |
import pytest
from tokenizers import BertWordPieceTokenizer
from ..utils import bert_files, data_dir
class TestEncoding:
@pytest.fixture(scope="class")
def encodings(self, bert_files):
tokenizer = BertWordPieceTokenizer.from_file(bert_files["vocab"])
single_encoding = tokenizer.encode("I lov... | tokenizers/bindings/python/tests/bindings/test_encoding.py/0 | {
"file_path": "tokenizers/bindings/python/tests/bindings/test_encoding.py",
"repo_id": "tokenizers",
"token_count": 1991
} | 230 |
import pytest
from tokenizers import SentencePieceBPETokenizer, SentencePieceUnigramTokenizer
class TestSentencePieceBPE:
def test_train_from_iterator(self):
text = ["A first sentence", "Another sentence", "And a last one"]
tokenizer = SentencePieceBPETokenizer()
tokenizer.train_from_iter... | tokenizers/bindings/python/tests/implementations/test_sentencepiece.py/0 | {
"file_path": "tokenizers/bindings/python/tests/implementations/test_sentencepiece.py",
"repo_id": "tokenizers",
"token_count": 1118
} | 231 |
/* Our DOM objects */
/* Version control */
.selectors {
margin-bottom: 10px;
}
.dropdown-button {
display: inline-block;
width: 50%;
background-color: #6670FF;
color: white;
border: none;
padding: 5px;
font-size: 15px;
cursor: pointer;
}
.dropdown-button:hover, .dropdown-button:... | tokenizers/docs/source/_static/css/huggingface.css/0 | {
"file_path": "tokenizers/docs/source/_static/css/huggingface.css",
"repo_id": "tokenizers",
"token_count": 2708
} | 232 |
Training from memory
----------------------------------------------------------------------------------------------------
In the `Quicktour <quicktour>`__, we saw how to build and train a tokenizer using text files,
but we can actually use any Python Iterator. In this section we'll see a few different ways of
training... | tokenizers/docs/source/tutorials/python/training_from_memory.rst/0 | {
"file_path": "tokenizers/docs/source/tutorials/python/training_from_memory.rst",
"repo_id": "tokenizers",
"token_count": 1149
} | 233 |
mod utils;
use tokenizers::models::bpe::{Vocab, BPE};
use tokenizers::Tokenizer;
use wasm_bindgen::prelude::*;
// When the `wee_alloc` feature is enabled, use `wee_alloc` as the global
// allocator.
#[cfg(feature = "wee_alloc")]
#[global_allocator]
static ALLOC: wee_alloc::WeeAlloc = wee_alloc::WeeAlloc::INIT;
#[was... | tokenizers/tokenizers/examples/unstable_wasm/src/lib.rs/0 | {
"file_path": "tokenizers/tokenizers/examples/unstable_wasm/src/lib.rs",
"repo_id": "tokenizers",
"token_count": 543
} | 234 |
use crate::tokenizer::{Decoder, Result};
use serde::{Deserialize, Serialize};
#[derive(Deserialize, Clone, Debug, Serialize)]
/// Allows decoding Original BPE by joining all the tokens and then replacing
/// the suffix used to identify end-of-words by whitespaces
#[serde(tag = "type")]
#[non_exhaustive]
pub struct BP... | tokenizers/tokenizers/src/decoders/bpe.rs/0 | {
"file_path": "tokenizers/tokenizers/src/decoders/bpe.rs",
"repo_id": "tokenizers",
"token_count": 419
} | 235 |
//! [Unigram](https://arxiv.org/abs/1804.10959) model.
mod lattice;
mod model;
mod serialization;
mod trainer;
mod trie;
pub use lattice::*;
pub use model::*;
pub use trainer::*;
| tokenizers/tokenizers/src/models/unigram/mod.rs/0 | {
"file_path": "tokenizers/tokenizers/src/models/unigram/mod.rs",
"repo_id": "tokenizers",
"token_count": 72
} | 236 |
use crate::tokenizer::{NormalizedString, Normalizer, Result};
use crate::utils::macro_rules_attribute;
use serde::{Deserialize, Serialize};
use unicode_normalization_alignments::char::is_combining_mark;
#[derive(Copy, Clone, Debug, Deserialize, Serialize)]
#[serde(tag = "type")]
#[non_exhaustive]
pub struct Strip {
... | tokenizers/tokenizers/src/normalizers/strip.rs/0 | {
"file_path": "tokenizers/tokenizers/src/normalizers/strip.rs",
"repo_id": "tokenizers",
"token_count": 2512
} | 237 |
use crate::tokenizer::{Encoding, PostProcessor, Result};
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::iter::FromIterator;
#[derive(Serialize, Deserialize, Clone, Debug, PartialEq, Eq)]
#[serde(tag = "type")]
pub struct BertProcessing {
sep: (String, u32),
cls: (String, u32),
}
... | tokenizers/tokenizers/src/processors/bert.rs/0 | {
"file_path": "tokenizers/tokenizers/src/processors/bert.rs",
"repo_id": "tokenizers",
"token_count": 7375
} | 238 |
pub(crate) mod cache;
#[cfg(feature = "http")]
pub(crate) mod from_pretrained;
#[cfg(feature = "unstable_wasm")]
mod fancy;
#[cfg(feature = "unstable_wasm")]
pub use fancy::SysRegex;
#[cfg(not(feature = "unstable_wasm"))]
mod onig;
#[cfg(not(feature = "unstable_wasm"))]
pub use crate::utils::onig::SysRegex;
pub mod i... | tokenizers/tokenizers/src/utils/mod.rs/0 | {
"file_path": "tokenizers/tokenizers/src/utils/mod.rs",
"repo_id": "tokenizers",
"token_count": 3092
} | 239 |
# 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/.circleci/create_circleci_config.py/0 | {
"file_path": "transformers/.circleci/create_circleci_config.py",
"repo_id": "transformers",
"token_count": 12997
} | 240 |
# https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-23-11.html#rel-23-11
FROM nvcr.io/nvidia/pytorch:23.11-py3
LABEL maintainer="Hugging Face"
ARG DEBIAN_FRONTEND=noninteractive
# Example: `cu102`, `cu113`, etc.
ARG CUDA='cu121'
RUN apt -y update
RUN apt install -y libaio-dev
RUN python3 -m p... | transformers/docker/transformers-pytorch-deepspeed-nightly-gpu/Dockerfile/0 | {
"file_path": "transformers/docker/transformers-pytorch-deepspeed-nightly-gpu/Dockerfile",
"repo_id": "transformers",
"token_count": 1028
} | 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/de/add_tensorflow_model.md/0 | {
"file_path": "transformers/docs/source/de/add_tensorflow_model.md",
"repo_id": "transformers",
"token_count": 9922
} | 242 |
<!--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/custom_models.md/0 | {
"file_path": "transformers/docs/source/en/custom_models.md",
"repo_id": "transformers",
"token_count": 4867
} | 243 |
<!--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/internal/modeling_utils.md/0 | {
"file_path": "transformers/docs/source/en/internal/modeling_utils.md",
"repo_id": "transformers",
"token_count": 729
} | 244 |
<!--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/logging.md/0 | {
"file_path": "transformers/docs/source/en/main_classes/logging.md",
"repo_id": "transformers",
"token_count": 1268
} | 245 |
# Cohere
## Overview
The Cohere Command-R model was proposed in the blogpost [Command-R: Retrieval Augmented Generation at Production Scale](https://txt.cohere.com/command-r/) by the Cohere Team.
The abstract from the paper is the following:
*Command-R is a scalable generative model targeting RAG and Tool Use to en... | transformers/docs/source/en/model_doc/cohere.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/cohere.md",
"repo_id": "transformers",
"token_count": 1897
} | 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/ernie.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/ernie.md",
"repo_id": "transformers",
"token_count": 1417
} | 247 |
<!--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
} | 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/mvp.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/mvp.md",
"repo_id": "transformers",
"token_count": 1922
} | 249 |
<!--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
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"file_path": "transformers/docs/source/en/model_doc/reformer.md",
"repo_id": "transformers",
"token_count": 3186
} | 250 |
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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/t5.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/t5.md",
"repo_id": "transformers",
"token_count": 7102
} | 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/unispeech.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/unispeech.md",
"repo_id": "transformers",
"token_count": 853
} | 252 |
<!--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/xls_r.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/xls_r.md",
"repo_id": "transformers",
"token_count": 782
} | 253 |
<!--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/perf_train_cpu.md/0 | {
"file_path": "transformers/docs/source/en/perf_train_cpu.md",
"repo_id": "transformers",
"token_count": 1270
} | 254 |
<!--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/tf_xla.md/0 | {
"file_path": "transformers/docs/source/en/tf_xla.md",
"repo_id": "transformers",
"token_count": 2860
} | 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 ... | transformers/docs/source/es/pr_checks.md/0 | {
"file_path": "transformers/docs/source/es/pr_checks.md",
"repo_id": "transformers",
"token_count": 2659
} | 256 |
<!--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/es/trainer.md/0 | {
"file_path": "transformers/docs/source/es/trainer.md",
"repo_id": "transformers",
"token_count": 7327
} | 257 |
<!--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/autoclass_tutorial.md/0 | {
"file_path": "transformers/docs/source/it/autoclass_tutorial.md",
"repo_id": "transformers",
"token_count": 1960
} | 258 |
<!--
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/ja/attention.md/0 | {
"file_path": "transformers/docs/source/ja/attention.md",
"repo_id": "transformers",
"token_count": 1963
} | 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/ja/model_doc/audio-spectrogram-transformer.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/audio-spectrogram-transformer.md",
"repo_id": "transformers",
"token_count": 2249
} | 260 |
<!--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-small.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/blenderbot-small.md",
"repo_id": "transformers",
"token_count": 1831
} | 261 |
<!--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/model_doc/code_llama.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/code_llama.md",
"repo_id": "transformers",
"token_count": 4010
} | 262 |
<!--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/ja/model_doc/deplot.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/deplot.md",
"repo_id": "transformers",
"token_count": 2027
} | 263 |
<!--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/run_scripts.md/0 | {
"file_path": "transformers/docs/source/ja/run_scripts.md",
"repo_id": "transformers",
"token_count": 8250
} | 264 |
<!--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/prompting.md/0 | {
"file_path": "transformers/docs/source/ja/tasks/prompting.md",
"repo_id": "transformers",
"token_count": 9975
} | 265 |
<!--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/tokenizer_summary.md/0 | {
"file_path": "transformers/docs/source/ja/tokenizer_summary.md",
"repo_id": "transformers",
"token_count": 9819
} | 266 |
<!---
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/contributing.md/0 | {
"file_path": "transformers/docs/source/ko/contributing.md",
"repo_id": "transformers",
"token_count": 15881
} | 267 |
<!--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/model_sharing.md/0 | {
"file_path": "transformers/docs/source/ko/model_sharing.md",
"repo_id": "transformers",
"token_count": 7561
} | 268 |
<!--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/monocular_depth_estimation.md/0 | {
"file_path": "transformers/docs/source/ko/tasks/monocular_depth_estimation.md",
"repo_id": "transformers",
"token_count": 3120
} | 269 |
<!--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/tflite.md/0 | {
"file_path": "transformers/docs/source/ko/tflite.md",
"repo_id": "transformers",
"token_count": 1852
} | 270 |
<!---
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/pt/installation.md/0 | {
"file_path": "transformers/docs/source/pt/installation.md",
"repo_id": "transformers",
"token_count": 3769
} | 271 |
<!--
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 agree... | transformers/docs/source/zh/add_new_pipeline.md/0 | {
"file_path": "transformers/docs/source/zh/add_new_pipeline.md",
"repo_id": "transformers",
"token_count": 5640
} | 272 |
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# 模型
基类 [`PreTrainedModel`]、[`TFPreTrainedModel`] 和 [`FlaxPreTrainedModel`] 实现了从本地文件或目录加载... | transformers/docs/source/zh/main_classes/model.md/0 | {
"file_path": "transformers/docs/source/zh/main_classes/model.md",
"repo_id": "transformers",
"token_count": 3605
} | 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/zh/pipeline_tutorial.md/0 | {
"file_path": "transformers/docs/source/zh/pipeline_tutorial.md",
"repo_id": "transformers",
"token_count": 7446
} | 274 |
#!/usr/bin/env python
import torch
from transformers import CamembertForMaskedLM, CamembertTokenizer
def fill_mask(masked_input, model, tokenizer, topk=5):
# Adapted from https://github.com/pytorch/fairseq/blob/master/fairseq/models/roberta/hub_interface.py
assert masked_input.count("<mask>") == 1
input_... | transformers/examples/legacy/run_camembert.py/0 | {
"file_path": "transformers/examples/legacy/run_camembert.py",
"repo_id": "transformers",
"token_count": 888
} | 275 |
# coding=utf-8
# Copyright 2020 Huggingface
#
# 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/examples/legacy/seq2seq/old_test_fsmt_bleu_score.py/0 | {
"file_path": "transformers/examples/legacy/seq2seq/old_test_fsmt_bleu_score.py",
"repo_id": "transformers",
"token_count": 997
} | 276 |
#!/usr/bin/env python
import io
import json
import subprocess
pairs = [
["en", "ru"],
["ru", "en"],
["en", "de"],
["de", "en"],
]
n_objs = 8
def get_all_data(pairs, n_objs):
text = {}
for src, tgt in pairs:
pair = f"{src}-{tgt}"
cmd = f"sacrebleu -t wmt19 -l {pair} --echo s... | transformers/examples/legacy/seq2seq/test_data/fsmt/build-eval-data.py/0 | {
"file_path": "transformers/examples/legacy/seq2seq/test_data/fsmt/build-eval-data.py",
"repo_id": "transformers",
"token_count": 410
} | 277 |
## Token classification
Based on the scripts [`run_ner.py`](https://github.com/huggingface/transformers/blob/main/examples/legacy/token-classification/run_ner.py).
The following examples are covered in this section:
* NER on the GermEval 2014 (German NER) dataset
* Emerging and Rare Entities task: WNUT’17 (English N... | transformers/examples/legacy/token-classification/README.md/0 | {
"file_path": "transformers/examples/legacy/token-classification/README.md",
"repo_id": "transformers",
"token_count": 4566
} | 278 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2020 The HuggingFace Team All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-... | transformers/examples/pytorch/language-modeling/run_mlm.py/0 | {
"file_path": "transformers/examples/pytorch/language-modeling/run_mlm.py",
"repo_id": "transformers",
"token_count": 12655
} | 279 |
# coding=utf-8
# Copyright 2020 The HuggingFace Team All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | transformers/examples/pytorch/question-answering/trainer_qa.py/0 | {
"file_path": "transformers/examples/pytorch/question-answering/trainer_qa.py",
"repo_id": "transformers",
"token_count": 2656
} | 280 |
#!/usr/bin/env python3
# Copyright 2018 CMU and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | transformers/examples/research_projects/bertology/run_bertology.py/0 | {
"file_path": "transformers/examples/research_projects/bertology/run_bertology.py",
"repo_id": "transformers",
"token_count": 7347
} | 281 |
from unittest import TestCase
from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters
def get_dataset():
data_dict = {
"repo_name": ["test_repo1", "test_repo2", "test_repo3"],
"path": ["test_1.py", "test_2.py", "unit_test.py"],
"content"... | transformers/examples/research_projects/codeparrot/scripts/tests/test_deduplicate.py/0 | {
"file_path": "transformers/examples/research_projects/codeparrot/scripts/tests/test_deduplicate.py",
"repo_id": "transformers",
"token_count": 456
} | 282 |
# coding=utf-8
# Copyright 2019-present, the HuggingFace Inc. team and Facebook, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Un... | transformers/examples/research_projects/distillation/grouped_batch_sampler.py/0 | {
"file_path": "transformers/examples/research_projects/distillation/grouped_batch_sampler.py",
"repo_id": "transformers",
"token_count": 1750
} | 283 |
[build-system]
requires = [
"setuptools>=57.4.0",
"wheel>=0.37.0",
"transformers>=4.9.2"
]
build-backend = "setuptools.build_meta" | transformers/examples/research_projects/fsner/pyproject.toml/0 | {
"file_path": "transformers/examples/research_projects/fsner/pyproject.toml",
"repo_id": "transformers",
"token_count": 71
} | 284 |
import jax
import jax.numpy as jnp
from bigbird_flax import FlaxBigBirdForNaturalQuestions
from datasets import load_from_disk
from transformers import BigBirdTokenizerFast
CATEGORY_MAPPING = {0: "null", 1: "short", 2: "long", 3: "yes", 4: "no"}
PUNCTUATION_SET_TO_EXCLUDE = set("".join(["‘", "’", "´", "`", ".", ",",... | transformers/examples/research_projects/jax-projects/big_bird/evaluate.py/0 | {
"file_path": "transformers/examples/research_projects/jax-projects/big_bird/evaluate.py",
"repo_id": "transformers",
"token_count": 2748
} | 285 |
#!/usr/bin/env python3
import logging
import sys
import time
from dataclasses import field
from pathlib import Path
from typing import Dict, List, Optional, Union
import flax
import jax
import jax.numpy as jnp
import librosa
import numpy as np
import optax
from datasets import DatasetDict, load_dataset
from flax impor... | transformers/examples/research_projects/jax-projects/wav2vec2/run_wav2vec2_pretrain_flax.py/0 | {
"file_path": "transformers/examples/research_projects/jax-projects/wav2vec2/run_wav2vec2_pretrain_flax.py",
"repo_id": "transformers",
"token_count": 10481
} | 286 |
# 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/research_projects/movement-pruning/emmental/modeling_bert_masked.py/0 | {
"file_path": "transformers/examples/research_projects/movement-pruning/emmental/modeling_bert_masked.py",
"repo_id": "transformers",
"token_count": 20046
} | 287 |
# coding=utf-8
# Copyright 2020 The HuggingFace Team All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | transformers/examples/research_projects/performer/run_mlm_performer.py/0 | {
"file_path": "transformers/examples/research_projects/performer/run_mlm_performer.py",
"repo_id": "transformers",
"token_count": 11399
} | 288 |
## Sequence to Sequence Training and Evaluation
This directory contains examples for finetuning and evaluating transformers on summarization and translation tasks.
Author: Sam Shleifer (https://github.com/sshleifer)
### Supported Architectures
- `BartForConditionalGeneration` (and anything that inherits from it)
- ... | transformers/examples/research_projects/seq2seq-distillation/README.md/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/README.md",
"repo_id": "transformers",
"token_count": 6520
} | 289 |
# VisualBERT Demo
This demo shows usage of VisualBERT VQA model and is adapted from LXMERT demo present [here](https://github.com/huggingface/transformers/blob/main/examples/research_projects/lxmert/demo.ipynb).
1. make a virtualenv: ``virtualenv venv`` and activate ``source venv/bin/activate``
2. install reqs: ``pip ... | transformers/examples/research_projects/visual_bert/README.md/0 | {
"file_path": "transformers/examples/research_projects/visual_bert/README.md",
"repo_id": "transformers",
"token_count": 127
} | 290 |
# Parts of the code are adapted from the snippets provided in the TorchAudio Wav2Vec forced alignment tutorial.
# The full tutorial can be found here: https://pytorch.org/audio/stable/tutorials/forced_alignment_tutorial.html
import argparse
import os
from dataclasses import dataclass
import torch
import torchaudio
fr... | transformers/examples/research_projects/wav2vec2/alignment.py/0 | {
"file_path": "transformers/examples/research_projects/wav2vec2/alignment.py",
"repo_id": "transformers",
"token_count": 4170
} | 291 |
<!---
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/examples/research_projects/xtreme-s/README.md/0 | {
"file_path": "transformers/examples/research_projects/xtreme-s/README.md",
"repo_id": "transformers",
"token_count": 3401
} | 292 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2020 The HuggingFace Team All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-... | transformers/examples/tensorflow/question-answering/run_qa.py/0 | {
"file_path": "transformers/examples/tensorflow/question-answering/run_qa.py",
"repo_id": "transformers",
"token_count": 15980
} | 293 |
# 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/hubconf.py/0 | {
"file_path": "transformers/hubconf.py",
"repo_id": "transformers",
"token_count": 3244
} | 294 |
# coding=utf-8
# Copyright 2018 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 copy of the License at
#
# http://www.a... | transformers/src/transformers/benchmark/benchmark_args_tf.py/0 | {
"file_path": "transformers/src/transformers/benchmark/benchmark_args_tf.py",
"repo_id": "transformers",
"token_count": 2097
} | 295 |
#!/usr/bin/env python
# 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... | transformers/src/transformers/commands/transformers_cli.py/0 | {
"file_path": "transformers/src/transformers/commands/transformers_cli.py",
"repo_id": "transformers",
"token_count": 625
} | 296 |
# coding=utf-8
# Copyright 2023 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/generation/candidate_generator.py/0 | {
"file_path": "transformers/src/transformers/generation/candidate_generator.py",
"repo_id": "transformers",
"token_count": 8151
} | 297 |
# 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/image_transforms.py/0 | {
"file_path": "transformers/src/transformers/image_transforms.py",
"repo_id": "transformers",
"token_count": 13239
} | 298 |
#include <torch/extension.h>
#include <ATen/ATen.h>
#include "cuda_launch.h"
#include <vector>
std::vector<at::Tensor> index_max(
at::Tensor index_vals,
at::Tensor indices,
int A_num_block,
int B_num_block
) {
return index_max_kernel(
index_vals,
indices,
A_num_block,
B_num_block
);
}
at::... | transformers/src/transformers/kernels/mra/torch_extension.cpp/0 | {
"file_path": "transformers/src/transformers/kernels/mra/torch_extension.cpp",
"repo_id": "transformers",
"token_count": 655
} | 299 |
# coding=utf-8
# Copyright 2021 The Google Flax Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
... | transformers/src/transformers/modeling_flax_utils.py/0 | {
"file_path": "transformers/src/transformers/modeling_flax_utils.py",
"repo_id": "transformers",
"token_count": 27381
} | 300 |
# 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/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/align/configuration_align.py/0 | {
"file_path": "transformers/src/transformers/models/align/configuration_align.py",
"repo_id": "transformers",
"token_count": 6879
} | 301 |
# 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/models/auto/feature_extraction_auto.py/0 | {
"file_path": "transformers/src/transformers/models/auto/feature_extraction_auto.py",
"repo_id": "transformers",
"token_count": 7703
} | 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 applicabl... | transformers/src/transformers/models/bart/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/bart/__init__.py",
"repo_id": "transformers",
"token_count": 1839
} | 303 |
# coding=utf-8
# Copyright 2022 The Salesforce Team Authors 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/licens... | transformers/src/transformers/models/blip/modeling_blip.py/0 | {
"file_path": "transformers/src/transformers/models/blip/modeling_blip.py",
"repo_id": "transformers",
"token_count": 25453
} | 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:... | transformers/src/transformers/models/bridgetower/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/bridgetower/__init__.py",
"repo_id": "transformers",
"token_count": 1071
} | 305 |
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