text stringlengths 7 318k | id stringlengths 14 166 | metadata dict | __index_level_0__ int64 0 439 |
|---|---|---|---|
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 17934,
"logprob": null,
"text": "Pour"
},
{
"id": 49833,
"logprob": -10.5390625,
"text": " dég"
},
{
"... | text-generation-inference/integration-tests/models/__snapshots__/test_bloom_560m_sharded/test_bloom_560m_sharded.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_bloom_560m_sharded/test_bloom_560m_sharded.json",
"repo_id": "text-generation-inference",
"token_count": 1543
} | 193 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 1,
"logprob": null,
"text": "<s>"
},
{
"id": 338,
"logprob": -10.0078125,
"text": "is"
},
{
"id": 2178... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_medusa/test_flash_medusa_all_params.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_medusa/test_flash_medusa_all_params.json",
"repo_id": "text-generation-inference",
"token_count": 1153
} | 194 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 60,
"prefill": [
{
"id": 589,
"logprob": null,
"text": "def"
},
{
"id": 1459,
"logprob": -5.6328125,
"text": " print"
},
{
"id"... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_starcoder/test_flash_starcoder_default_params.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_starcoder/test_flash_starcoder_default_params.json",
"repo_id": "text-generation-inference",
"token_count": 4734
} | 195 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "eos_token",
"generated_tokens": 7,
"prefill": [
{
"id": 0,
"logprob": null,
"text": "<pad>"
}
],
"seed": null,
"tokens": [
{
"id": 3,
"logprob": -0.7001953,
"specia... | text-generation-inference/integration-tests/models/__snapshots__/test_t5_sharded/test_t5_sharded.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_t5_sharded/test_t5_sharded.json",
"repo_id": "text-generation-inference",
"token_count": 680
} | 196 |
import pytest
@pytest.fixture(scope="module")
def flash_starcoder_gptq_handle(launcher):
with launcher("Narsil/starcoder-gptq", num_shard=2, quantize="gptq") as handle:
yield handle
@pytest.fixture(scope="module")
async def flash_starcoder_gptq(flash_starcoder_gptq_handle):
await flash_starcoder_gpt... | text-generation-inference/integration-tests/models/test_flash_starcoder_gptq.py/0 | {
"file_path": "text-generation-inference/integration-tests/models/test_flash_starcoder_gptq.py",
"repo_id": "text-generation-inference",
"token_count": 734
} | 197 |
import {check} from 'k6';
import http from 'k6/http';
import {Trend} from 'k6/metrics';
const host = __ENV.HOST || '127.0.0.1:3000';
const totalTime = new Trend('total_time', true);
const validationTime = new Trend('validation_time', true);
const queueTime = new Trend('queue_time', true);
const inferenceTime = new Tr... | text-generation-inference/load_tests/starcoder_load.js/0 | {
"file_path": "text-generation-inference/load_tests/starcoder_load.js",
"repo_id": "text-generation-inference",
"token_count": 835
} | 198 |
/// Batching and inference logic
use crate::validation::{Validation, ValidationError};
use crate::{
ChatTemplateInputs, Entry, GenerateRequest, GenerateStreamResponse, HubTokenizerConfig,
Message, PrefillToken, Queue, Token,
};
use futures::future::try_join_all;
use minijinja::{Environment, ErrorKind, Template}... | text-generation-inference/router/src/infer.rs/0 | {
"file_path": "text-generation-inference/router/src/infer.rs",
"repo_id": "text-generation-inference",
"token_count": 16828
} | 199 |
#include <ATen/Dispatch.h>
#include <THC/THCAtomics.cuh>
#include <ATen/ATen.h>
#include <torch/torch.h>
#include <vector>
#include <optional>
/**
* Friendly reminder of how multithreading works in CUDA: https://developer.nvidia.com/blog/even-easier-introduction-cuda
* Check example at https://github.com/thomasw21/Li... | text-generation-inference/server/custom_kernels/custom_kernels/fused_attention_cuda.cu/0 | {
"file_path": "text-generation-inference/server/custom_kernels/custom_kernels/fused_attention_cuda.cu",
"repo_id": "text-generation-inference",
"token_count": 5265
} | 200 |
// Adapted from turboderp exllama: https://github.com/turboderp/exllama
#ifndef _util_cuh
#define _util_cuh
#include <cuda_runtime.h>
#include <cuda_fp16.h>
#include <cstdint>
#include <cstdio>
#if defined(USE_ROCM)
#define cudaUnspecified hipErrorUnknown
#else
#define cudaUnspecified cudaErrorApiFailureBase
#endif
... | text-generation-inference/server/exllama_kernels/exllama_kernels/util.cuh/0 | {
"file_path": "text-generation-inference/server/exllama_kernels/exllama_kernels/util.cuh",
"repo_id": "text-generation-inference",
"token_count": 283
} | 201 |
#ifndef _qdq_6_cuh
#define _qdq_6_cuh
#include "qdq_util.cuh"
#include "../../config.h"
#if QMODE_6BIT == 1
// Not implemented
#else
__forceinline__ __device__ void shuffle_6bit_16
(
uint32_t* q,
int stride
)
{
}
__forceinline__ __device__ void dequant_6bit_16
(
const uint32_t q_0,
const uint32_... | text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_6.cuh/0 | {
"file_path": "text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_6.cuh",
"repo_id": "text-generation-inference",
"token_count": 572
} | 202 |
import pytest
import torch
from copy import copy
from transformers import AutoTokenizer
from text_generation_server.pb import generate_pb2
from text_generation_server.models.seq2seq_lm import Seq2SeqLM, Seq2SeqLMBatch
@pytest.fixture(scope="session")
def mt0_small_tokenizer():
tokenizer = AutoTokenizer.from_pr... | text-generation-inference/server/tests/models/test_seq2seq_lm.py/0 | {
"file_path": "text-generation-inference/server/tests/models/test_seq2seq_lm.py",
"repo_id": "text-generation-inference",
"token_count": 5483
} | 203 |
# coding=utf-8
# Copyright 2022 EleutherAI and the HuggingFace Inc. team. All rights reserved.
#
# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX
# and OPT implementations in this library. It has been modified from its
# original forms to accommodate minor architectural differences compared
# to G... | text-generation-inference/server/text_generation_server/models/custom_modeling/flash_llama_modeling.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/flash_llama_modeling.py",
"repo_id": "text-generation-inference",
"token_count": 7080
} | 204 |
# imlementation of the PhiModel and PhiForCausalLM classes
import torch
import torch.distributed
import math
from torch import nn
from typing import Optional, List, Tuple, Any
from transformers.configuration_utils import PretrainedConfig
from transformers.modeling_outputs import CausalLMOutputWithPast
from text_gene... | text-generation-inference/server/text_generation_server/models/custom_modeling/phi_modeling.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/phi_modeling.py",
"repo_id": "text-generation-inference",
"token_count": 5628
} | 205 |
import torch
import torch.distributed
from typing import Optional
from transformers import (
AutoTokenizer,
AutoConfig,
)
from text_generation_server.models.custom_modeling.opt_modeling import OPTForCausalLM
from text_generation_server.models import CausalLM
from text_generation_server.utils import (
init... | text-generation-inference/server/text_generation_server/models/opt.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/opt.py",
"repo_id": "text-generation-inference",
"token_count": 1171
} | 206 |
import torch
from exllama_kernels import make_q4, q4_matmul, prepare_buffers, set_tuning_params
# Dummy tensor to pass instead of g_idx since there is no way to pass "None" to a C++ extension
none_tensor = torch.empty((1, 1), device="meta")
def ext_make_q4(qweight, qzeros, scales, g_idx, device):
"""Construct Q4... | text-generation-inference/server/text_generation_server/utils/gptq/exllama.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/utils/gptq/exllama.py",
"repo_id": "text-generation-inference",
"token_count": 1833
} | 207 |
import subprocess
import argparse
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--check", action="store_true")
args = parser.parse_args()
output = subprocess.check_output(["text-generation-launcher", "--help"]).decode(
"utf-8"
)
wrap_code_blocks_flag = "<!-- WR... | text-generation-inference/update_doc.py/0 | {
"file_path": "text-generation-inference/update_doc.py",
"repo_id": "text-generation-inference",
"token_count": 991
} | 208 |
## How to release
# Before the release
Simple checklist on how to make releases for `tokenizers`.
- Freeze `master` branch.
- Run all tests (Check CI has properly run)
- If any significant work, check benchmarks:
- `cd tokenizers && cargo bench` (needs to be run on latest release tag to measure difference if it's ... | tokenizers/RELEASE.md/0 | {
"file_path": "tokenizers/RELEASE.md",
"repo_id": "tokenizers",
"token_count": 1521
} | 209 |
/* eslint-disable */
var globRequire = require
console.log = (..._args: any[]) => {}
describe('quicktourExample', () => {
function require(mod: string) {
if (mod.startsWith('tokenizers')) {
return globRequire('../../')
} else {
return globRequire(mod)
}
}
it.skip('trains the tokenizer',... | tokenizers/bindings/node/examples/documentation/quicktour.test.ts/0 | {
"file_path": "tokenizers/bindings/node/examples/documentation/quicktour.test.ts",
"repo_id": "tokenizers",
"token_count": 2324
} | 210 |
{
"name": "tokenizers-android-arm-eabi",
"version": "0.13.4-rc1",
"os": [
"android"
],
"cpu": [
"arm"
],
"main": "tokenizers.android-arm-eabi.node",
"files": [
"tokenizers.android-arm-eabi.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
... | tokenizers/bindings/node/npm/android-arm-eabi/package.json/0 | {
"file_path": "tokenizers/bindings/node/npm/android-arm-eabi/package.json",
"repo_id": "tokenizers",
"token_count": 269
} | 211 |
{
"name": "tokenizers-linux-x64-gnu",
"version": "0.13.4-rc1",
"os": [
"linux"
],
"cpu": [
"x64"
],
"main": "tokenizers.linux-x64-gnu.node",
"files": [
"tokenizers.linux-x64-gnu.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
"NAPI",
... | tokenizers/bindings/node/npm/linux-x64-gnu/package.json/0 | {
"file_path": "tokenizers/bindings/node/npm/linux-x64-gnu/package.json",
"repo_id": "tokenizers",
"token_count": 289
} | 212 |
use crate::arc_rwlock_serde;
use napi::bindgen_prelude::*;
use napi_derive::napi;
use serde::{Deserialize, Serialize};
use std::sync::{Arc, RwLock};
use tk::normalizers::NormalizerWrapper;
use tk::NormalizedString;
use tokenizers as tk;
/// Normalizer
#[derive(Debug, Clone, Serialize, Deserialize)]
#[napi]
pub struct ... | tokenizers/bindings/node/src/normalizers.rs/0 | {
"file_path": "tokenizers/bindings/node/src/normalizers.rs",
"repo_id": "tokenizers",
"token_count": 1886
} | 213 |
include Cargo.toml
include pyproject.toml
include rust-toolchain
include ../../LICENSE
recursive-include src *
recursive-include tokenizers-lib *
recursive-exclude tokenizers-lib/target *
| tokenizers/bindings/python/MANIFEST.in/0 | {
"file_path": "tokenizers/bindings/python/MANIFEST.in",
"repo_id": "tokenizers",
"token_count": 57
} | 214 |
from typing import Dict, Iterator, List, Optional, Union
from tokenizers import AddedToken, Tokenizer, decoders, trainers
from tokenizers.models import WordPiece
from tokenizers.normalizers import BertNormalizer
from tokenizers.pre_tokenizers import BertPreTokenizer
from tokenizers.processors import BertProcessing
fr... | tokenizers/bindings/python/py_src/tokenizers/implementations/bert_wordpiece.py/0 | {
"file_path": "tokenizers/bindings/python/py_src/tokenizers/implementations/bert_wordpiece.py",
"repo_id": "tokenizers",
"token_count": 2637
} | 215 |
# Generated content DO NOT EDIT
from .. import trainers
Trainer = trainers.Trainer
BpeTrainer = trainers.BpeTrainer
UnigramTrainer = trainers.UnigramTrainer
WordLevelTrainer = trainers.WordLevelTrainer
WordPieceTrainer = trainers.WordPieceTrainer
| tokenizers/bindings/python/py_src/tokenizers/trainers/__init__.py/0 | {
"file_path": "tokenizers/bindings/python/py_src/tokenizers/trainers/__init__.py",
"repo_id": "tokenizers",
"token_count": 74
} | 216 |
use pyo3::prelude::*;
use tk::Token;
#[pyclass(module = "tokenizers", name = "Token")]
#[derive(Clone)]
pub struct PyToken {
token: Token,
}
impl From<Token> for PyToken {
fn from(token: Token) -> Self {
Self { token }
}
}
impl From<PyToken> for Token {
fn from(token: PyToken) -> Self {
... | tokenizers/bindings/python/src/token.rs/0 | {
"file_path": "tokenizers/bindings/python/src/token.rs",
"repo_id": "tokenizers",
"token_count": 439
} | 217 |
import json
import pickle
import pytest
from tokenizers.pre_tokenizers import (
BertPreTokenizer,
ByteLevel,
CharDelimiterSplit,
Digits,
Metaspace,
PreTokenizer,
Punctuation,
Sequence,
Split,
UnicodeScripts,
Whitespace,
WhitespaceSplit,
)
class TestByteLevel:
def ... | tokenizers/bindings/python/tests/bindings/test_pre_tokenizers.py/0 | {
"file_path": "tokenizers/bindings/python/tests/bindings/test_pre_tokenizers.py",
"repo_id": "tokenizers",
"token_count": 4218
} | 218 |
# Minimal makefile for Sphinx documentation
#
# You can set these variables from the command line, and also
# from the environment for those with `?=`
SPHINXOPTS ?=
SPHINXBUILD ?= sphinx-build
BUILDDIR ?= build
SOURCEDIR = source
# Put it first so that "make" without argument is like "make html_all".
h... | tokenizers/docs/Makefile/0 | {
"file_path": "tokenizers/docs/Makefile",
"repo_id": "tokenizers",
"token_count": 393
} | 219 |
<!-- DISABLE-FRONTMATTER-SECTIONS -->
# Tokenizers
Fast State-of-the-art tokenizers, optimized for both research and
production
[🤗 Tokenizers](https://github.com/huggingface/tokenizers) provides an
implementation of today's most used tokenizers, with a focus on
performance and versatility. These tokenizers are also... | tokenizers/docs/source-doc-builder/index.mdx/0 | {
"file_path": "tokenizers/docs/source-doc-builder/index.mdx",
"repo_id": "tokenizers",
"token_count": 250
} | 220 |
Input sequences
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
These types represent all the different kinds of sequence that can be used as input of a Tokenizer.
Globally, any sequence can be either a string or a list of strings, according to the operating
mode of... | tokenizers/docs/source/api/python.inc/0 | {
"file_path": "tokenizers/docs/source/api/python.inc",
"repo_id": "tokenizers",
"token_count": 562
} | 221 |
#!/usr/bin/env node
const { spawn } = require("child_process");
const fs = require("fs");
let folderName = '.';
if (process.argv.length >= 3) {
folderName = process.argv[2];
if (!fs.existsSync(folderName)) {
fs.mkdirSync(folderName);
}
}
const clone = spawn("git", ["clone", "https://github.com/rustwasm/cr... | tokenizers/tokenizers/examples/unstable_wasm/www/.bin/create-wasm-app.js/0 | {
"file_path": "tokenizers/tokenizers/examples/unstable_wasm/www/.bin/create-wasm-app.js",
"repo_id": "tokenizers",
"token_count": 210
} | 222 |
use super::model::Unigram;
use serde::{
de::{Error, MapAccess, Visitor},
ser::SerializeStruct,
Deserialize, Deserializer, Serialize, Serializer,
};
impl Serialize for Unigram {
fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
where
S: Serializer,
{
let mut model ... | tokenizers/tokenizers/src/models/unigram/serialization.rs/0 | {
"file_path": "tokenizers/tokenizers/src/models/unigram/serialization.rs",
"repo_id": "tokenizers",
"token_count": 1824
} | 223 |
use serde::{Deserialize, Serialize};
use crate::normalizers::NormalizerWrapper;
use crate::tokenizer::{NormalizedString, Normalizer, Result};
use crate::utils::macro_rules_attribute;
#[derive(Clone, Deserialize, Debug, Serialize)]
#[serde(tag = "type")]
/// Allows concatenating multiple other Normalizer as a Sequence... | tokenizers/tokenizers/src/normalizers/utils.rs/0 | {
"file_path": "tokenizers/tokenizers/src/normalizers/utils.rs",
"repo_id": "tokenizers",
"token_count": 478
} | 224 |
use crate::processors::byte_level::process_offsets;
use crate::tokenizer::{Encoding, PostProcessor, Result};
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::iter::FromIterator;
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq, Eq)]
#[serde(tag = "type")]
pub struct RobertaProcessin... | tokenizers/tokenizers/src/processors/roberta.rs/0 | {
"file_path": "tokenizers/tokenizers/src/processors/roberta.rs",
"repo_id": "tokenizers",
"token_count": 8419
} | 225 |
use crate::parallelism::*;
use crate::tokenizer::{Encoding, Result};
use serde::{Deserialize, Serialize};
/// The various possible padding directions.
#[derive(Debug, Clone, Copy, Serialize, Deserialize)]
pub enum PaddingDirection {
Left,
Right,
}
impl std::convert::AsRef<str> for PaddingDirection {
fn as... | tokenizers/tokenizers/src/utils/padding.rs/0 | {
"file_path": "tokenizers/tokenizers/src/utils/padding.rs",
"repo_id": "tokenizers",
"token_count": 2049
} | 226 |
cff-version: "1.2.0"
date-released: 2020-10
message: "If you use this software, please cite it using these metadata."
title: "Transformers: State-of-the-Art Natural Language Processing"
url: "https://github.com/huggingface/transformers"
authors:
- family-names: Wolf
given-names: Thomas
- family-names: Debut
... | transformers/CITATION.cff/0 | {
"file_path": "transformers/CITATION.cff",
"repo_id": "transformers",
"token_count": 824
} | 227 |
#!/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
} | 228 |
<!--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/de/peft.md/0 | {
"file_path": "transformers/docs/source/de/peft.md",
"repo_id": "transformers",
"token_count": 3175
} | 229 |
<!--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/attention.md/0 | {
"file_path": "transformers/docs/source/en/attention.md",
"repo_id": "transformers",
"token_count": 949
} | 230 |
<!--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/glossary.md/0 | {
"file_path": "transformers/docs/source/en/glossary.md",
"repo_id": "transformers",
"token_count": 6744
} | 231 |
<!--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/main_classes/agent.md/0 | {
"file_path": "transformers/docs/source/en/main_classes/agent.md",
"repo_id": "transformers",
"token_count": 812
} | 232 |
<!--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/main_classes/quantization.md/0 | {
"file_path": "transformers/docs/source/en/main_classes/quantization.md",
"repo_id": "transformers",
"token_count": 403
} | 233 |
<!--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/camembert.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/camembert.md",
"repo_id": "transformers",
"token_count": 1309
} | 234 |
<!--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/cvt.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/cvt.md",
"repo_id": "transformers",
"token_count": 1314
} | 235 |
<!--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/flava.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/flava.md",
"repo_id": "transformers",
"token_count": 916
} | 236 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
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the License. You may obtain a copy of the License at
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Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/levit.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/levit.md",
"repo_id": "transformers",
"token_count": 1801
} | 237 |
<!--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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Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/mbart.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/mbart.md",
"repo_id": "transformers",
"token_count": 3130
} | 238 |
<!--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/mpt.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/mpt.md",
"repo_id": "transformers",
"token_count": 824
} | 239 |
<!--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/owlvit.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/owlvit.md",
"repo_id": "transformers",
"token_count": 1986
} | 240 |
<!--Copyright 2024 The Qwen Team and The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applic... | transformers/docs/source/en/model_doc/qwen2.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/qwen2.md",
"repo_id": "transformers",
"token_count": 920
} | 241 |
<!--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/segformer.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/segformer.md",
"repo_id": "transformers",
"token_count": 3177
} | 242 |
<!--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/t5v1.1.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/t5v1.1.md",
"repo_id": "transformers",
"token_count": 967
} | 243 |
<!--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/upernet.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/upernet.md",
"repo_id": "transformers",
"token_count": 1188
} | 244 |
<!--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/xmod.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/xmod.md",
"repo_id": "transformers",
"token_count": 1496
} | 245 |
<!--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_gpu_many.md/0 | {
"file_path": "transformers/docs/source/en/perf_train_gpu_many.md",
"repo_id": "transformers",
"token_count": 10506
} | 246 |
<!--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/task_summary.md/0 | {
"file_path": "transformers/docs/source/en/task_summary.md",
"repo_id": "transformers",
"token_count": 5682
} | 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/tasks/semantic_segmentation.md/0 | {
"file_path": "transformers/docs/source/en/tasks/semantic_segmentation.md",
"repo_id": "transformers",
"token_count": 10076
} | 248 |
<!--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/trainer.md/0 | {
"file_path": "transformers/docs/source/en/trainer.md",
"repo_id": "transformers",
"token_count": 5997
} | 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
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/es/glossary.md/0 | {
"file_path": "transformers/docs/source/es/glossary.md",
"repo_id": "transformers",
"token_count": 10069
} | 250 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/es/tasks/asr.md/0 | {
"file_path": "transformers/docs/source/es/tasks/asr.md",
"repo_id": "transformers",
"token_count": 6032
} | 251 |
# docstyle-ignore
INSTALL_CONTENT = """
# Installazione di Transformers
! pip install transformers datasets
# Per installare dalla fonte invece dell'ultima versione rilasciata, commenta il comando sopra e
# rimuovi la modalità commento al comando seguente.
# ! pip install git+https://github.com/huggingface/transformers... | transformers/docs/source/it/_config.py/0 | {
"file_path": "transformers/docs/source/it/_config.py",
"repo_id": "transformers",
"token_count": 188
} | 252 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/it/multilingual.md/0 | {
"file_path": "transformers/docs/source/it/multilingual.md",
"repo_id": "transformers",
"token_count": 3144
} | 253 |
<!--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/generation_strategies.md/0 | {
"file_path": "transformers/docs/source/ja/generation_strategies.md",
"repo_id": "transformers",
"token_count": 8929
} | 254 |
<!--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/main_classes/callback.md/0 | {
"file_path": "transformers/docs/source/ja/main_classes/callback.md",
"repo_id": "transformers",
"token_count": 2295
} | 255 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/main_classes/tokenizer.md/0 | {
"file_path": "transformers/docs/source/ja/main_classes/tokenizer.md",
"repo_id": "transformers",
"token_count": 1908
} | 256 |
<!--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/bertweet.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/bertweet.md",
"repo_id": "transformers",
"token_count": 1155
} | 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/ja/model_doc/chinese_clip.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/chinese_clip.md",
"repo_id": "transformers",
"token_count": 2245
} | 258 |
<!--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/deberta-v2.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/deberta-v2.md",
"repo_id": "transformers",
"token_count": 3024
} | 259 |
<!---
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 ... | transformers/docs/source/ja/perf_hardware.md/0 | {
"file_path": "transformers/docs/source/ja/perf_hardware.md",
"repo_id": "transformers",
"token_count": 4130
} | 260 |
<!--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/zero_shot_object_detection.md/0 | {
"file_path": "transformers/docs/source/ja/tasks/zero_shot_object_detection.md",
"repo_id": "transformers",
"token_count": 5595
} | 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/ko/attention.md/0 | {
"file_path": "transformers/docs/source/ko/attention.md",
"repo_id": "transformers",
"token_count": 3061
} | 262 |
<!--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_doc/llama.md/0 | {
"file_path": "transformers/docs/source/ko/model_doc/llama.md",
"repo_id": "transformers",
"token_count": 4406
} | 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/ko/perf_train_tpu_tf.md/0 | {
"file_path": "transformers/docs/source/ko/perf_train_tpu_tf.md",
"repo_id": "transformers",
"token_count": 12239
} | 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/ko/tasks/image_captioning.md/0 | {
"file_path": "transformers/docs/source/ko/tasks/image_captioning.md",
"repo_id": "transformers",
"token_count": 5076
} | 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/ko/tasks/zero_shot_object_detection.md/0 | {
"file_path": "transformers/docs/source/ko/tasks/zero_shot_object_detection.md",
"repo_id": "transformers",
"token_count": 7704
} | 266 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/pt/create_a_model.md/0 | {
"file_path": "transformers/docs/source/pt/create_a_model.md",
"repo_id": "transformers",
"token_count": 5956
} | 267 |
- sections:
- local: index
title: 🤗 Transformers
title: Get started | transformers/docs/source/tr/_toctree.yml/0 | {
"file_path": "transformers/docs/source/tr/_toctree.yml",
"repo_id": "transformers",
"token_count": 25
} | 268 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/zh/main_classes/logging.md/0 | {
"file_path": "transformers/docs/source/zh/main_classes/logging.md",
"repo_id": "transformers",
"token_count": 2154
} | 269 |
# 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": 1079
} | 270 |
#!/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": 14764
} | 271 |
#!/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
} | 272 |
# 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
} | 273 |
{
"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
} | 274 |
## 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
} | 275 |
<!---
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": 2874
} | 276 |
<!---
Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/examples/pytorch/multiple-choice/README.md/0 | {
"file_path": "transformers/examples/pytorch/multiple-choice/README.md",
"repo_id": "transformers",
"token_count": 1161
} | 277 |
<!---
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/pytorch/semantic-segmentation/README.md/0 | {
"file_path": "transformers/examples/pytorch/semantic-segmentation/README.md",
"repo_id": "transformers",
"token_count": 3408
} | 278 |
# coding=utf-8
# Copyright 2018 HuggingFace Inc..
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | transformers/examples/pytorch/test_accelerate_examples.py/0 | {
"file_path": "transformers/examples/pytorch/test_accelerate_examples.py",
"repo_id": "transformers",
"token_count": 6360
} | 279 |
#!/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/token-classification/run_ner_no_trainer.py/0 | {
"file_path": "transformers/examples/pytorch/token-classification/run_ner_no_trainer.py",
"repo_id": "transformers",
"token_count": 14733
} | 280 |
# Examples
In this folder we showcase some examples to use code models for downstream tasks.
## Complexity prediction
In this task we want to predict the complexity of Java programs in [CodeComplex](https://huggingface.co/datasets/codeparrot/codecomplex) dataset. Using Hugging Face `trainer`, we finetuned [multilingua... | transformers/examples/research_projects/codeparrot/examples/README.md/0 | {
"file_path": "transformers/examples/research_projects/codeparrot/examples/README.md",
"repo_id": "transformers",
"token_count": 1170
} | 281 |
import gym
import numpy as np
import torch
from mujoco_py import GlfwContext
from transformers import DecisionTransformerModel
GlfwContext(offscreen=True) # Create a window to init GLFW.
def get_action(model, states, actions, rewards, returns_to_go, timesteps):
# we don't care about the past rewards in this m... | transformers/examples/research_projects/decision_transformer/run_decision_transformer.py/0 | {
"file_path": "transformers/examples/research_projects/decision_transformer/run_decision_transformer.py",
"repo_id": "transformers",
"token_count": 2763
} | 282 |
# 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/distillation/run_squad_w_distillation.py/0 | {
"file_path": "transformers/examples/research_projects/distillation/run_squad_w_distillation.py",
"repo_id": "transformers",
"token_count": 15430
} | 283 |
from .model import FSNERModel
from .tokenizer_utils import FSNERTokenizerUtils
__all__ = ["FSNERModel", "FSNERTokenizerUtils"]
| transformers/examples/research_projects/fsner/src/fsner/__init__.py/0 | {
"file_path": "transformers/examples/research_projects/fsner/src/fsner/__init__.py",
"repo_id": "transformers",
"token_count": 44
} | 284 |
command:
- python3
- train.py
method: random
parameters:
lr:
values: [4e-5, 3e-5]
warmup_steps:
values: [20000, 15000, 10000, 5000]
weight_decay:
distribution: normal
mu: 1e-2
sigma: 2e-3
metric:
... | transformers/examples/research_projects/jax-projects/big_bird/sweep_flax.yaml/0 | {
"file_path": "transformers/examples/research_projects/jax-projects/big_bird/sweep_flax.yaml",
"repo_id": "transformers",
"token_count": 222
} | 285 |
#!/usr/bin/env python
# coding=utf-8
# 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-... | transformers/examples/research_projects/layoutlmv3/run_funsd_cord.py/0 | {
"file_path": "transformers/examples/research_projects/layoutlmv3/run_funsd_cord.py",
"repo_id": "transformers",
"token_count": 8703
} | 286 |
<!---
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/examples/research_projects/mlm_wwm/README.md/0 | {
"file_path": "transformers/examples/research_projects/mlm_wwm/README.md",
"repo_id": "transformers",
"token_count": 1186
} | 287 |
# coding=utf-8
# Copyright 2020-present, the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... | transformers/examples/research_projects/movement-pruning/emmental/modules/masked_nn.py/0 | {
"file_path": "transformers/examples/research_projects/movement-pruning/emmental/modules/masked_nn.py",
"repo_id": "transformers",
"token_count": 1917
} | 288 |
import logging
import os
from dataclasses import dataclass, field
from functools import partial
from pathlib import Path
from tempfile import TemporaryDirectory
from typing import List, Optional
import faiss
import torch
from datasets import Features, Sequence, Value, load_dataset
from transformers import DPRContextE... | transformers/examples/research_projects/rag-end2end-retriever/use_own_knowledge_dataset.py/0 | {
"file_path": "transformers/examples/research_projects/rag-end2end-retriever/use_own_knowledge_dataset.py",
"repo_id": "transformers",
"token_count": 2578
} | 289 |
import argparse
import logging
import os
import sys
import tempfile
from pathlib import Path
import lightning_base
import pytest
import pytorch_lightning as pl
import torch
from convert_pl_checkpoint_to_hf import convert_pl_to_hf
from distillation import distill_main
from finetune import SummarizationModule, main
from... | transformers/examples/research_projects/seq2seq-distillation/_test_seq2seq_examples.py/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/_test_seq2seq_examples.py",
"repo_id": "transformers",
"token_count": 7908
} | 290 |
#!/usr/bin/env bash
python run_asr.py \
--output_dir="./wav2vec2-base-100h" \
--num_train_epochs="30" \
--per_device_train_batch_size="32" \
--per_device_eval_batch_size="32" \
--evaluation_strategy="steps" \
--save_total_limit="3" \
--save_steps="500" \
--eval_steps="100" \
--logging_steps="50" \
--learning_rate="5e-4... | transformers/examples/research_projects/wav2vec2/finetune_base_100.sh/0 | {
"file_path": "transformers/examples/research_projects/wav2vec2/finetune_base_100.sh",
"repo_id": "transformers",
"token_count": 249
} | 291 |
# Zero-shot classifier distillation
Author: @joeddav
This script provides a way to improve the speed and memory performance of a zero-shot classifier by training a more
efficient student model from the zero-shot teacher's predictions over an unlabeled dataset.
The zero-shot classification pipeline uses a model pre-... | transformers/examples/research_projects/zero-shot-distillation/README.md/0 | {
"file_path": "transformers/examples/research_projects/zero-shot-distillation/README.md",
"repo_id": "transformers",
"token_count": 2466
} | 292 |
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