text stringlengths 7 1.24M | id stringlengths 14 166 | metadata dict | __index_level_0__ int64 0 519 |
|---|---|---|---|
""" Sequencer
Paper: `Sequencer: Deep LSTM for Image Classification` - https://arxiv.org/pdf/2205.01972.pdf
"""
# Copyright (c) 2022. Yuki Tatsunami
# Licensed under the Apache License, Version 2.0 (the "License");
import math
from functools import partial
from itertools import accumulate
from typing import Option... | pytorch-image-models/timm/models/sequencer.py/0 | {
"file_path": "pytorch-image-models/timm/models/sequencer.py",
"repo_id": "pytorch-image-models",
"token_count": 9247
} | 232 |
""" Vision OutLOoker (VOLO) implementation
Paper: `VOLO: Vision Outlooker for Visual Recognition` - https://arxiv.org/abs/2106.13112
Code adapted from official impl at https://github.com/sail-sg/volo, original copyright in comment below
Modifications and additions for timm by / Copyright 2022, Ross Wightman
"""
# Co... | pytorch-image-models/timm/models/volo.py/0 | {
"file_path": "pytorch-image-models/timm/models/volo.py",
"repo_id": "pytorch-image-models",
"token_count": 17710
} | 233 |
""" PyTorch MADGRAD optimizer
MADGRAD: https://arxiv.org/abs/2101.11075
Code from: https://github.com/facebookresearch/madgrad
"""
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import ma... | pytorch-image-models/timm/optim/madgrad.py/0 | {
"file_path": "pytorch-image-models/timm/optim/madgrad.py",
"repo_id": "pytorch-image-models",
"token_count": 3505
} | 234 |
""" Step Scheduler
Basic step LR schedule with warmup, noise.
Hacked together by / Copyright 2020 Ross Wightman
"""
import math
import torch
from typing import List
from .scheduler import Scheduler
class StepLRScheduler(Scheduler):
"""
"""
def __init__(
self,
optimizer: torch.... | pytorch-image-models/timm/scheduler/step_lr.py/0 | {
"file_path": "pytorch-image-models/timm/scheduler/step_lr.py",
"repo_id": "pytorch-image-models",
"token_count": 951
} | 235 |
from typing import Optional, Tuple, List
import torch
def onnx_forward(onnx_file, example_input):
import onnxruntime
sess_options = onnxruntime.SessionOptions()
session = onnxruntime.InferenceSession(onnx_file, sess_options)
input_name = session.get_inputs()[0].name
output = session.run([], {inp... | pytorch-image-models/timm/utils/onnx.py/0 | {
"file_path": "pytorch-image-models/timm/utils/onnx.py",
"repo_id": "pytorch-image-models",
"token_count": 1722
} | 236 |
install-server:
cd server && make install
install-server-cpu:
cd server && make install-server
install-router:
cargo install --path backends/v3/
install-launcher:
cargo install --path launcher/
install-benchmark:
cargo install --path benchmark/
install: install-server install-router install-launcher
install... | text-generation-inference/Makefile/0 | {
"file_path": "text-generation-inference/Makefile",
"repo_id": "text-generation-inference",
"token_count": 440
} | 237 |
//! A crate to extract and inject a OpenTelemetry context from and to a gRPC request.
//! Inspired by: https://github.com/open-telemetry/opentelemetry-rust gRPC examples
use opentelemetry::global;
use opentelemetry::propagation::Injector;
use tracing_opentelemetry::OpenTelemetrySpanExt;
/// Inject context in the meta... | text-generation-inference/backends/grpc-metadata/src/lib.rs/0 | {
"file_path": "text-generation-inference/backends/grpc-metadata/src/lib.rs",
"repo_id": "text-generation-inference",
"token_count": 548
} | 238 |
use std::future::Future;
use std::path::Path;
use std::pin::{pin, Pin};
use std::str::FromStr;
use std::sync::atomic::{AtomicBool, Ordering};
use std::sync::{Arc, OnceLock};
use std::task::{Context, Poll};
use std::time::Duration;
use async_trait::async_trait;
use cxx::UniquePtr;
use log::{error, warn};
use tokenizers... | text-generation-inference/backends/trtllm/src/backend.rs/0 | {
"file_path": "text-generation-inference/backends/trtllm/src/backend.rs",
"repo_id": "text-generation-inference",
"token_count": 7316
} | 239 |
use crate::block_allocator::{BlockAllocation, BlockAllocator};
use crate::client;
use crate::client::{
Batch, GrammarType, NextTokenChooserParameters, Request, StoppingCriteriaParameters,
};
use nohash_hasher::{BuildNoHashHasher, IntMap};
use std::cmp::{max, min};
use std::collections::VecDeque;
use text_generation... | text-generation-inference/backends/v3/src/queue.rs/0 | {
"file_path": "text-generation-inference/backends/v3/src/queue.rs",
"repo_id": "text-generation-inference",
"token_count": 13802
} | 240 |
import pytest
from text_generation import __version__
from huggingface_hub.utils import build_hf_headers
@pytest.fixture
def flan_t5_xxl():
return "google/flan-t5-xxl"
@pytest.fixture
def llama_7b():
return "meta-llama/Llama-2-7b-chat-hf"
@pytest.fixture
def fake_model():
return "fake/model"
@pytes... | text-generation-inference/clients/python/tests/conftest.py/0 | {
"file_path": "text-generation-inference/clients/python/tests/conftest.py",
"repo_id": "text-generation-inference",
"token_count": 479
} | 241 |
# Serving Private & Gated Models
If the model you wish to serve is behind gated access or the model repository on Hugging Face Hub is private, and you have access to the model, you can provide your Hugging Face Hub access token. You can generate and copy a read token from [Hugging Face Hub tokens page](https://hugging... | text-generation-inference/docs/source/basic_tutorials/gated_model_access.md/0 | {
"file_path": "text-generation-inference/docs/source/basic_tutorials/gated_model_access.md",
"repo_id": "text-generation-inference",
"token_count": 290
} | 242 |
# Streaming
## What is Streaming?
Token streaming is the mode in which the server returns the tokens one by one as the model generates them. This enables showing progressive generations to the user rather than waiting for the whole generation. Streaming is an essential aspect of the end-user experience as it reduces ... | text-generation-inference/docs/source/conceptual/streaming.md/0 | {
"file_path": "text-generation-inference/docs/source/conceptual/streaming.md",
"repo_id": "text-generation-inference",
"token_count": 1890
} | 243 |
{
inputs = {
crate2nix = {
url = "github:nix-community/crate2nix";
inputs.nixpkgs.follows = "tgi-nix/nixpkgs";
};
nix-filter.url = "github:numtide/nix-filter";
tgi-nix.url = "github:danieldk/tgi-nix";
nixpkgs.follows = "tgi-nix/nixpkgs";
flake-utils.url = "github:numtide/flake-util... | text-generation-inference/flake.nix/0 | {
"file_path": "text-generation-inference/flake.nix",
"repo_id": "text-generation-inference",
"token_count": 1705
} | 244 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 2061,
"logprob": null,
"text": "What"
},
{
"id": 318,
"logprob": -3.1835938,
"text": " is"
},
{
"id": ... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_gpt2/test_flash_gpt2.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_gpt2/test_flash_gpt2.json",
"repo_id": "text-generation-inference",
"token_count": 1172
} | 245 |
[
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 1,
"logprob": null,
"text": "<s>"
},
{
"id": 1247,
"logprob": -2.390625,
"text": "User"
... | text-generation-inference/integration-tests/models/__snapshots__/test_llava_next/test_flash_llava_next_load.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_llava_next/test_flash_llava_next_load.json",
"repo_id": "text-generation-inference",
"token_count": 848284
} | 246 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 50278,
"logprob": null,
"text": "<|prompter|>"
},
{
"id": 1276,
"logprob": -8.0234375,
"text": "What"
},
{
... | text-generation-inference/integration-tests/models/__snapshots__/test_neox_sharded/test_neox.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_neox_sharded/test_neox.json",
"repo_id": "text-generation-inference",
"token_count": 1966
} | 247 |
import pytest
@pytest.fixture(scope="module")
def flash_llama_awq_handle(launcher):
with launcher(
"abhinavkulkarni/codellama-CodeLlama-7b-Python-hf-w4-g128-awq",
num_shard=1,
quantize="awq",
) as handle:
yield handle
@pytest.fixture(scope="module")
async def flash_llama_awq(... | text-generation-inference/integration-tests/models/test_flash_awq.py/0 | {
"file_path": "text-generation-inference/integration-tests/models/test_flash_awq.py",
"repo_id": "text-generation-inference",
"token_count": 866
} | 248 |
import pytest
@pytest.fixture(scope="module")
def flash_mistral_handle(launcher):
with launcher("mistralai/Mistral-7B-Instruct-v0.1") as handle:
yield handle
@pytest.fixture(scope="module")
async def flash_mistral(flash_mistral_handle):
await flash_mistral_handle.health(300)
return flash_mistral... | text-generation-inference/integration-tests/models/test_flash_mistral.py/0 | {
"file_path": "text-generation-inference/integration-tests/models/test_flash_mistral.py",
"repo_id": "text-generation-inference",
"token_count": 714
} | 249 |
import pytest
@pytest.fixture(scope="module")
def fused_kernel_mamba_handle(launcher):
with launcher("state-spaces/mamba-130m", num_shard=1) as handle:
yield handle
@pytest.fixture(scope="module")
async def fused_kernel_mamba(fused_kernel_mamba_handle):
await fused_kernel_mamba_handle.health(300)
... | text-generation-inference/integration-tests/models/test_mamba.py/0 | {
"file_path": "text-generation-inference/integration-tests/models/test_mamba.py",
"repo_id": "text-generation-inference",
"token_count": 822
} | 250 |
ShareGPT_V3_unfiltered_cleaned_split.json:
wget https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json
prepare_share: ShareGPT_V3_unfiltered_cleaned_split.json
python filter.py
prepare_orca:
python orca.py
| text-generation-inference/load_tests/Makefile/0 | {
"file_path": "text-generation-inference/load_tests/Makefile",
"repo_id": "text-generation-inference",
"token_count": 123
} | 251 |
use crate::infer::{InferError, InferStreamResponse};
use crate::validation::{
ValidGenerateRequest, ValidGrammar, ValidParameters, ValidStoppingParameters,
};
use nohash_hasher::{BuildNoHashHasher, IntMap};
use std::cmp::min;
use std::collections::VecDeque;
use text_generation_client::v2::{
Batch, GrammarType, ... | text-generation-inference/router/src/infer/v2/queue.rs/0 | {
"file_path": "text-generation-inference/router/src/infer/v2/queue.rs",
"repo_id": "text-generation-inference",
"token_count": 11013
} | 252 |
fbgemm_commit := v0.8.0
build-fbgemm:
git clone https://github.com/pytorch/FBGEMM.git fbgemm && \
cd fbgemm && git fetch && git checkout $(fbgemm_commit) && \
git submodule update --init --recursive && \
cd fbgemm_gpu && \
pip install -r requirements.txt && \
CUDA_ARCH_LIST="8.0;9.0a" NVCC_GENCODE="-gencode=arc... | text-generation-inference/server/Makefile-fbgemm/0 | {
"file_path": "text-generation-inference/server/Makefile-fbgemm",
"repo_id": "text-generation-inference",
"token_count": 317
} | 253 |
#include "q4_matmul.cuh"
#include "column_remap.cuh"
#include <ATen/cuda/CUDAContext.h>
#include "../util.cuh"
#include "../matrix.cuh"
#include "../cu_compat.cuh"
#include "../cuda_buffers.cuh"
#if defined(USE_ROCM)
#include "../hip_compat.cuh"
#endif
const int THREADS_X = 32; // Block size and thread count alo... | text-generation-inference/server/exllama_kernels/exllama_kernels/cuda_func/q4_matmul.cu/0 | {
"file_path": "text-generation-inference/server/exllama_kernels/exllama_kernels/cuda_func/q4_matmul.cu",
"repo_id": "text-generation-inference",
"token_count": 4211
} | 254 |
#include "compat.cuh"
__forceinline__ __device__ half2 dot22_8(half2(&dq)[4], const half* a_ptr, const half2 g_result, const half qs_h)
{
half2 result = {};
const half2* a2_ptr = (const half2*)a_ptr;
#pragma unroll
for (int i = 0; i < 4; i++) result = __hfma2(dq[i], *a2_ptr++, result);
return __hfm... | text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/q_gemm_kernel.cuh/0 | {
"file_path": "text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/q_gemm_kernel.cuh",
"repo_id": "text-generation-inference",
"token_count": 11459
} | 255 |
import torch
from typing import List
AWQ_PACK_ORDER = [0, 2, 4, 6, 1, 3, 5, 7]
REVERSE_AWQ_PACK_ORDER = [0, 4, 1, 5, 2, 6, 3, 7]
def pack(imatrix: torch.Tensor, direction: str = "column"):
"""
Packs a 4-bit integer matrix into a packed 32-bit integer matrix.
Args:
imatrix (torch.Tensor): matrix ... | text-generation-inference/server/text_generation_server/layers/awq/conversion_utils.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/layers/awq/conversion_utils.py",
"repo_id": "text-generation-inference",
"token_count": 1384
} | 256 |
from typing import TYPE_CHECKING, Optional, List
import torch
import torch.distributed
from torch import nn
from torch.distributed import ProcessGroup
from text_generation_server.utils.sgmv import (
add_lora_a_bgmv,
add_lora_b_bgmv,
has_sgmv,
lora_a_sgmv_cutlass,
lora_b_sgmv_cutlass,
orient_fo... | text-generation-inference/server/text_generation_server/layers/lora.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/layers/lora.py",
"repo_id": "text-generation-inference",
"token_count": 5398
} | 257 |
from typing import Optional, Tuple
import torch
from torch import nn
from transformers.activations import ACT2FN
from transformers.modeling_attn_mask_utils import (
_create_4d_causal_attention_mask,
_prepare_4d_attention_mask,
)
from transformers.modeling_outputs import (
BaseModelOutputWithPooling,
)
fro... | text-generation-inference/server/text_generation_server/models/custom_modeling/clip.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/clip.py",
"repo_id": "text-generation-inference",
"token_count": 13765
} | 258 |
import torch
import torch.distributed
from torch import nn
from transformers.activations import ACT2FN
from typing import Optional, List, Tuple
from text_generation_server.layers.attention import (
paged_attention,
attention,
reshape_and_cache,
Seqlen,
)
from text_generation_server.layers import (
... | text-generation-inference/server/text_generation_server/models/custom_modeling/flash_santacoder_modeling.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/flash_santacoder_modeling.py",
"repo_id": "text-generation-inference",
"token_count": 8477
} | 259 |
# coding=utf-8
# Copyright 2018 Mesh TensorFlow authors, T5 Authors and 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... | text-generation-inference/server/text_generation_server/models/custom_modeling/t5_modeling.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/t5_modeling.py",
"repo_id": "text-generation-inference",
"token_count": 22698
} | 260 |
from text_generation_server.utils.convert import convert_file, convert_files
from text_generation_server.utils.dist import initialize_torch_distributed
from text_generation_server.utils.weights import Weights
from text_generation_server.utils.peft import download_and_unload_peft
from text_generation_server.utils.hub im... | text-generation-inference/server/text_generation_server/utils/__init__.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/utils/__init__.py",
"repo_id": "text-generation-inference",
"token_count": 417
} | 261 |
import re
from typing import List, Optional, Tuple, Set, Union
import torch
from text_generation_server.pb import generate_pb2
from text_generation_server.pb.generate_pb2 import FinishReason, GrammarType
from text_generation_server.utils.logits_process import (
FrequencyPenaltyLogitsProcessor,
GrammarLogitProc... | text-generation-inference/server/text_generation_server/utils/tokens.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/utils/tokens.py",
"repo_id": "text-generation-inference",
"token_count": 11317
} | 262 |
[package]
authors = ["Nicolas Patry <nicolas@huggingface.co>"]
edition = "2021"
name = "node"
version = "0.20.0-dev.0"
# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
[lib]
crate-type = ["cdylib"]
[dependencies]
napi = "2"
napi-derive = "2"
serde = { v... | tokenizers/bindings/node/Cargo.toml/0 | {
"file_path": "tokenizers/bindings/node/Cargo.toml",
"repo_id": "tokenizers",
"token_count": 200
} | 263 |
import { prependNormalizer, stripAccentsNormalizer, stripNormalizer } from '../../'
describe('stripNormalizer', () => {
it('instantiates with no parameters', () => {
const normalizer = stripNormalizer()
expect(normalizer.constructor.name).toEqual('Normalizer')
})
it('accepts `undefined` as first paramet... | tokenizers/bindings/node/lib/bindings/normalizers.test.ts/0 | {
"file_path": "tokenizers/bindings/node/lib/bindings/normalizers.test.ts",
"repo_id": "tokenizers",
"token_count": 468
} | 264 |
{
"name": "tokenizers-linux-arm-gnueabihf",
"version": "0.13.4-rc1",
"os": [
"linux"
],
"cpu": [
"arm"
],
"main": "tokenizers.linux-arm-gnueabihf.node",
"files": [
"tokenizers.linux-arm-gnueabihf.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-r... | tokenizers/bindings/node/npm/linux-arm-gnueabihf/package.json/0 | {
"file_path": "tokenizers/bindings/node/npm/linux-arm-gnueabihf/package.json",
"repo_id": "tokenizers",
"token_count": 278
} | 265 |
tab_spaces = 2
| tokenizers/bindings/node/rustfmt.toml/0 | {
"file_path": "tokenizers/bindings/node/rustfmt.toml",
"repo_id": "tokenizers",
"token_count": 7
} | 266 |
export type TextInputSequence = string
export type PreTokenizedInputSequence = string[]
export type InputSequence = TextInputSequence | PreTokenizedInputSequence
export type TextEncodeInput = TextInputSequence | [TextInputSequence, TextInputSequence]
export type PreTokenizedEncodeInput = PreTokenizedInputSequence | [P... | tokenizers/bindings/node/types.ts/0 | {
"file_path": "tokenizers/bindings/node/types.ts",
"repo_id": "tokenizers",
"token_count": 114
} | 267 |
<jupyter_start><jupyter_code>!wget https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased-vocab.txt -O /tmp/bert-base-uncased-vocab.txt
from tokenizers import BertWordPieceTokenizer
from tokenizers.tools import EncodingVisualizer
EncodingVisualizer.unk_token_regex.search("aaa[udsnk]aaa")
text = """Mathi... | tokenizers/bindings/python/examples/using_the_visualizer.ipynb/0 | {
"file_path": "tokenizers/bindings/python/examples/using_the_visualizer.ipynb",
"repo_id": "tokenizers",
"token_count": 1221
} | 268 |
# Generated content DO NOT EDIT
from .. import pre_tokenizers
PreTokenizer = pre_tokenizers.PreTokenizer
BertPreTokenizer = pre_tokenizers.BertPreTokenizer
ByteLevel = pre_tokenizers.ByteLevel
CharDelimiterSplit = pre_tokenizers.CharDelimiterSplit
Digits = pre_tokenizers.Digits
Metaspace = pre_tokenizers.Metaspace
Pun... | tokenizers/bindings/python/py_src/tokenizers/pre_tokenizers/__init__.py/0 | {
"file_path": "tokenizers/bindings/python/py_src/tokenizers/pre_tokenizers/__init__.py",
"repo_id": "tokenizers",
"token_count": 177
} | 269 |
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::types::*;
use tk::tokenizer::{Offsets, PaddingDirection};
use tk::utils::truncation::TruncationDirection;
use tokenizers as tk;
use crate::error::{deprecation_warning, PyError};
/// The :class:`~tokenizers.Encoding` represents the output of a :class:`~tokenizers.T... | tokenizers/bindings/python/src/encoding.rs/0 | {
"file_path": "tokenizers/bindings/python/src/encoding.rs",
"repo_id": "tokenizers",
"token_count": 7410
} | 270 |
import argparse
import inspect
import os
from pathlib import Path
INDENT = " " * 4
GENERATED_COMMENT = "# Generated content DO NOT EDIT\n"
def do_indent(text: str, indent: str):
return text.replace("\n", f"\n{indent}")
def function(obj, indent, text_signature=None):
if text_signature is None:
text... | tokenizers/bindings/python/stub.py/0 | {
"file_path": "tokenizers/bindings/python/stub.py",
"repo_id": "tokenizers",
"token_count": 2395
} | 271 |
# Models
<tokenizerslangcontent>
<python>
## BPE
[[autodoc]] tokenizers.models.BPE
## Model
[[autodoc]] tokenizers.models.Model
## Unigram
[[autodoc]] tokenizers.models.Unigram
## WordLevel
[[autodoc]] tokenizers.models.WordLevel
## WordPiece
[[autodoc]] tokenizers.models.WordPiece
</python>
<rust>
The Rust A... | tokenizers/docs/source-doc-builder/api/models.mdx/0 | {
"file_path": "tokenizers/docs/source-doc-builder/api/models.mdx",
"repo_id": "tokenizers",
"token_count": 179
} | 272 |
Installation with npm
----------------------------------------------------------------------------------------------------
You can simply install 🤗 Tokenizers with npm using::
npm install tokenizers
| tokenizers/docs/source/installation/node.inc/0 | {
"file_path": "tokenizers/docs/source/installation/node.inc",
"repo_id": "tokenizers",
"token_count": 31
} | 273 |
#[macro_use]
extern crate criterion;
use criterion::{Criterion, Throughput};
use tokenizers::Tokenizer;
pub fn llama3(c: &mut Criterion) {
let data = std::fs::read_to_string("data/big.txt").unwrap();
let mut group = c.benchmark_group("llama3-encode");
group.throughput(Throughput::Bytes(data.bytes().len() ... | tokenizers/tokenizers/benches/llama3.rs/0 | {
"file_path": "tokenizers/tokenizers/benches/llama3.rs",
"repo_id": "tokenizers",
"token_count": 645
} | 274 |
// A dependency graph that contains any wasm must all be imported
// asynchronously. This `bootstrap.js` file does the single async import, so
// that no one else needs to worry about it again.
import("./index.js")
.catch(e => console.error("Error importing `index.js`:", e));
| tokenizers/tokenizers/examples/unstable_wasm/www/bootstrap.js/0 | {
"file_path": "tokenizers/tokenizers/examples/unstable_wasm/www/bootstrap.js",
"repo_id": "tokenizers",
"token_count": 79
} | 275 |
//! [Byte Pair Encoding](https://www.aclweb.org/anthology/P16-1162/) model.
use std::{iter, mem};
mod model;
mod serialization;
pub mod trainer;
mod word;
type Pair = (u32, u32);
/// Errors that can be encountered while using or constructing a `BPE` model.
#[derive(thiserror::Error, Debug)]
pub enum Error {
/// ... | tokenizers/tokenizers/src/models/bpe/mod.rs/0 | {
"file_path": "tokenizers/tokenizers/src/models/bpe/mod.rs",
"repo_id": "tokenizers",
"token_count": 893
} | 276 |
use super::{super::OrderedVocabIter, WordPiece, WordPieceBuilder};
use serde::{
de::{MapAccess, Visitor},
ser::SerializeStruct,
Deserialize, Deserializer, Serialize, Serializer,
};
use std::collections::HashSet;
impl Serialize for WordPiece {
fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Er... | tokenizers/tokenizers/src/models/wordpiece/serialization.rs/0 | {
"file_path": "tokenizers/tokenizers/src/models/wordpiece/serialization.rs",
"repo_id": "tokenizers",
"token_count": 2453
} | 277 |
pub mod bert;
pub mod byte_level;
pub mod delimiter;
pub mod digits;
pub mod metaspace;
pub mod punctuation;
pub mod sequence;
pub mod split;
pub mod unicode_scripts;
pub mod whitespace;
use serde::{Deserialize, Deserializer, Serialize};
use crate::pre_tokenizers::bert::BertPreTokenizer;
use crate::pre_tokenizers::by... | tokenizers/tokenizers/src/pre_tokenizers/mod.rs/0 | {
"file_path": "tokenizers/tokenizers/src/pre_tokenizers/mod.rs",
"repo_id": "tokenizers",
"token_count": 6537
} | 278 |
use crate::pattern::Pattern;
use crate::{Offsets, Result};
use std::ops::{Bound, RangeBounds};
use unicode_normalization_alignments::UnicodeNormalization;
use serde::{Deserialize, Serialize};
/// The possible offsets referential
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum OffsetReferential {
Original,
... | tokenizers/tokenizers/src/tokenizer/normalizer.rs/0 | {
"file_path": "tokenizers/tokenizers/src/tokenizer/normalizer.rs",
"repo_id": "tokenizers",
"token_count": 42416
} | 279 |
use tokenizers::models::bpe::{BpeTrainerBuilder, BPE};
use tokenizers::normalizers::{Sequence, Strip, NFC};
use tokenizers::pre_tokenizers::byte_level::ByteLevel;
use tokenizers::{AddedToken, TokenizerBuilder};
use tokenizers::{DecoderWrapper, NormalizerWrapper, PostProcessorWrapper, PreTokenizerWrapper};
use tokenizer... | tokenizers/tokenizers/tests/documentation.rs/0 | {
"file_path": "tokenizers/tokenizers/tests/documentation.rs",
"repo_id": "tokenizers",
"token_count": 7422
} | 280 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/benchmark/benchmark.py/0 | {
"file_path": "transformers/benchmark/benchmark.py",
"repo_id": "transformers",
"token_count": 5440
} | 281 |
<!---
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/README.md/0 | {
"file_path": "transformers/docs/README.md",
"repo_id": "transformers",
"token_count": 4835
} | 282 |
<!---
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/de/pr_checks.md/0 | {
"file_path": "transformers/docs/source/de/pr_checks.md",
"repo_id": "transformers",
"token_count": 4986
} | 283 |
<!--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/benchmarks.md/0 | {
"file_path": "transformers/docs/source/en/benchmarks.md",
"repo_id": "transformers",
"token_count": 7208
} | 284 |
<!--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/hpo_train.md/0 | {
"file_path": "transformers/docs/source/en/hpo_train.md",
"repo_id": "transformers",
"token_count": 2076
} | 285 |
<!--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": 1378
} | 286 |
<!--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": 514
} | 287 |
<!--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
} | 288 |
<!--Copyright 2022 The HuggingFace Team and The OpenBMB 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 app... | transformers/docs/source/en/model_doc/cpmant.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/cpmant.md",
"repo_id": "transformers",
"token_count": 534
} | 289 |
<!--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/dialogpt.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/dialogpt.md",
"repo_id": "transformers",
"token_count": 789
} | 290 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/falcon.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/falcon.md",
"repo_id": "transformers",
"token_count": 837
} | 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 agreed... | transformers/docs/source/en/model_doc/gpt-sw3.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/gpt-sw3.md",
"repo_id": "transformers",
"token_count": 879
} | 292 |
<!--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/idefics.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/idefics.md",
"repo_id": "transformers",
"token_count": 836
} | 293 |
<!--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/lilt.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/lilt.md",
"repo_id": "transformers",
"token_count": 1291
} | 294 |
<!--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/markuplm.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/markuplm.md",
"repo_id": "transformers",
"token_count": 3443
} | 295 |
<!--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/mobilenet_v2.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/mobilenet_v2.md",
"repo_id": "transformers",
"token_count": 1747
} | 296 |
<!--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/nystromformer.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/nystromformer.md",
"repo_id": "transformers",
"token_count": 907
} | 297 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/phi3.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/phi3.md",
"repo_id": "transformers",
"token_count": 1228
} | 298 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/recurrent_gemma.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/recurrent_gemma.md",
"repo_id": "transformers",
"token_count": 608
} | 299 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/seggpt.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/seggpt.md",
"repo_id": "transformers",
"token_count": 1258
} | 300 |
<!--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/vit_msn.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/vit_msn.md",
"repo_id": "transformers",
"token_count": 2134
} | 301 |
<!--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/xlm-v.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/xlm-v.md",
"repo_id": "transformers",
"token_count": 809
} | 302 |
<!---
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/en/perf_hardware.md/0 | {
"file_path": "transformers/docs/source/en/perf_hardware.md",
"repo_id": "transformers",
"token_count": 2317
} | 303 |
<!--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/preprocessing.md/0 | {
"file_path": "transformers/docs/source/en/preprocessing.md",
"repo_id": "transformers",
"token_count": 8688
} | 304 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/serialization.md/0 | {
"file_path": "transformers/docs/source/en/serialization.md",
"repo_id": "transformers",
"token_count": 2972
} | 305 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/tasks/multiple_choice.md/0 | {
"file_path": "transformers/docs/source/en/tasks/multiple_choice.md",
"repo_id": "transformers",
"token_count": 5490
} | 306 |
<!--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/testing.md/0 | {
"file_path": "transformers/docs/source/en/testing.md",
"repo_id": "transformers",
"token_count": 13508
} | 307 |
<!--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/pipeline_tutorial.md/0 | {
"file_path": "transformers/docs/source/es/pipeline_tutorial.md",
"repo_id": "transformers",
"token_count": 6257
} | 308 |
# docstyle-ignore
INSTALL_CONTENT = """
# Installazione di Transformers
! pip install transformers datasets evaluate accelerate
# 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/hugg... | transformers/docs/source/it/_config.py/0 | {
"file_path": "transformers/docs/source/it/_config.py",
"repo_id": "transformers",
"token_count": 190
} | 309 |
<!--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": 3202
} | 310 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/glossary.md/0 | {
"file_path": "transformers/docs/source/ja/glossary.md",
"repo_id": "transformers",
"token_count": 12796
} | 311 |
<!--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/trainer.md/0 | {
"file_path": "transformers/docs/source/ja/main_classes/trainer.md",
"repo_id": "transformers",
"token_count": 19572
} | 312 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/model_doc/big_bird.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/big_bird.md",
"repo_id": "transformers",
"token_count": 2762
} | 313 |
<!--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/clap.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/clap.md",
"repo_id": "transformers",
"token_count": 1775
} | 314 |
<!--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.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/deberta.md",
"repo_id": "transformers",
"token_count": 3598
} | 315 |
<!--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/perf_infer_cpu.md/0 | {
"file_path": "transformers/docs/source/ja/perf_infer_cpu.md",
"repo_id": "transformers",
"token_count": 1977
} | 316 |
<!--⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
rendered properly in your Markdown viewer.
-->
# Webサーバー用のパイプラインの使用
<Tip>
推論エンジンの作成は複雑なトピックであり、"最適な"ソリューションはおそらく問題の領域に依存するでしょう。CPUまたはGPUを使用していますか？最低のレイテンシ、最高のスループット、多くのモデルのサポート、または特定のモデルの高度な最適化を望... | transformers/docs/source/ja/pipeline_webserver.md/0 | {
"file_path": "transformers/docs/source/ja/pipeline_webserver.md",
"repo_id": "transformers",
"token_count": 3402
} | 317 |
<!--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/masked_language_modeling.md/0 | {
"file_path": "transformers/docs/source/ja/tasks/masked_language_modeling.md",
"repo_id": "transformers",
"token_count": 7720
} | 318 |
<!--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_explained.md/0 | {
"file_path": "transformers/docs/source/ja/tasks_explained.md",
"repo_id": "transformers",
"token_count": 16553
} | 319 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ko/bertology.md/0 | {
"file_path": "transformers/docs/source/ko/bertology.md",
"repo_id": "transformers",
"token_count": 1557
} | 320 |
<!---
Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/docs/source/ko/installation.md/0 | {
"file_path": "transformers/docs/source/ko/installation.md",
"repo_id": "transformers",
"token_count": 6897
} | 321 |
<!--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/perf_infer_gpu_one.md/0 | {
"file_path": "transformers/docs/source/ko/perf_infer_gpu_one.md",
"repo_id": "transformers",
"token_count": 6517
} | 322 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ko/quantization/quanto.md/0 | {
"file_path": "transformers/docs/source/ko/quantization/quanto.md",
"repo_id": "transformers",
"token_count": 2333
} | 323 |
<!--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
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<!--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
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<!--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
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- sections:
- local: index
title: 🤗 Transformers
title: Get started | transformers/docs/source/tr/_toctree.yml/0 | {
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<!---
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
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<!--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
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<!---
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
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#!/usr/bin/env python
# coding=utf-8
# Copyright 2021 The HuggingFace Team All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
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