Hugging Face Transformers: v4.6.1: Patch release
Hugging Face Transformers v4.6.1. Source highlight: Fix regression in models for sequence classification used for regression tasks #11785
Hugging Face Transformers archive — Page 5
256 tracked entries. Older history is imported progressively; see source coverage.
Hugging Face Transformers: v4.6.0: ViT, DeiT, CLIP, LUKE, BigBirdPegasus, MegatronBERT
Hugging Face Transformers v4.6.0. Source highlight: v4.6.0: ViT, DeiT, CLIP, LUKE, BigBirdPegasus, MegatronBERT
Hugging Face Transformers: v4.5.1: Patch release
Hugging Face Transformers v4.5.1. Source highlight: Fix `pipeline` when used with private models (#11123)
Hugging Face Transformers: v4.5.0: BigBird, GPT Neo, Examples, Flax support
Hugging Face Transformers v4.5.0. Source highlight: v4.5.0: BigBird, GPT Neo, Examples, Flax support
Hugging Face Transformers: Patch release V4.4.2
Hugging Face Transformers v4.4.2. Source highlight: Add support for detecting intel-tensorflow version
Hugging Face Transformers: v4.4.0: S2T, M2M100, I-BERT, mBART-50, DeBERTa-v2, XLSR-Wav2Vec2
Hugging Face Transformers v4.4.0. Source highlight: v4.4.0: S2T, M2M100, I-BERT, mBART-50, DeBERTa-v2, XLSR-Wav2Vec2
Hugging Face Transformers: v4.3.3: Patch release
Hugging Face Transformers v4.3.3. Source highlight: This patch fixes an issue with the conversion for ConvBERT models: https://github.com/huggingface/transformers/pull/10314.
Hugging Face Transformers: V4.3.2: Patch release
Hugging Face Transformers v4.3.2. Source highlight: This patch release fixes the RAG model (#10094) and the detection of whether faiss is available (#10103)
Hugging Face Transformers: v4.3.1: Patch release
Hugging Face Transformers v4.3.1. Source highlight: This patch release modifies the API of the `Wav2Vec2` model: the `Wav2Vec2ForCTC` was added as a replacement of `Wav2Vec2ForMaskedLM`. `Wav2Vec2ForMaskedLM` is kept for backwards compatibility but is deprecated.
Hugging Face Transformers: v4.3.0: Wav2Vec2, ConvBERT, BORT, Amazon SageMaker
Hugging Face Transformers v4.3.0. Source highlight: Wav2Vec2 from facebook (@patrickvonplaten)
Hugging Face Transformers: v4.2.2: Patch release
Hugging Face Transformers v4.2.2. Source highlight: This patch contains two fixes:
Hugging Face Transformers: v4.2.1 Patch release
Hugging Face Transformers v4.2.1. Source highlight: This patch contains three fixes:
Hugging Face Transformers: v4.2.0: LED from AllenAI, Generation Scores, TensorFlow 2x speedup, faster import
Hugging Face Transformers v4.2.0. Source highlight: v4.2.0: LED from AllenAI, encoder-decoder templates, fast imports
Hugging Face Transformers: v4.1.1: TAPAS, MPNet, model parallelization, Sharded DDP, conda, multi-part downloads.
Hugging Face Transformers v4.1.1. Source highlight: v4.1.1: TAPAS, MPNet, model parallelization, Sharded DDP, conda, multi-part downloads.
Hugging Face Transformers: Patch release: better error message & invalid trainer attribute
Hugging Face Transformers v4.0.1. Source highlight: This patch releases introduces:
Hugging Face Transformers: Transformers v4.0.0: Fast tokenizers, model outputs, file reorganization
Hugging Face Transformers v4.0.0. Source highlight: Transformers v4.0.0-rc-1: Fast tokenizers, model outputs, file reorganization
Hugging Face Transformers v3.5.1 — Release Notes & Engineering Impact
Hugging Face Transformers v3.5.1 is published, but the available notes are too limited to assess upgrade impact. Review the official source before upgrading.
Hugging Face Transformers: v3.5.0: Model versioning, TensorFlow encoder-decoder models, new scripts, refactor of the `generate` method
Hugging Face Transformers v3.5.0. Source highlight: Model versioning, TensorFlow encoder-decoder models, new scripts, refactor of the `generate` method
Hugging Face Transformers: ProphetNet, Blenderbot, SqueezeBERT, DeBERTa
Hugging Face Transformers v3.4.0. Source highlight: ProphetNet, Blenderbot, SqueezeBERT, DeBERTa
Hugging Face Transformers v3.3.1 — Release Notes & Engineering Impact
Hugging Face Transformers v3.3.1. Source highlight: Fixes errors due to the name conflicts between the datasets library and local folder or modules named datasets.
Hugging Face Transformers v3.3.0 — Release Notes & Engineering Impact
Hugging Face Transformers v3.3.0. Source highlight: The RAG model is a retrieval-augmented generation model that can be leveraged for question-answering tasks using `RagTokenForGeneration` or `RagSequenceForGeneration` as proposed in Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks by Patrick Lewis, Ethan Perez, Aleksandara Piktus, Fa
Hugging Face Transformers: Bert Seq2Seq models, FSMT, LayoutLM, Funnel Transformer, LXMERT
Hugging Face Transformers v3.2.0. Source highlight: Bert Seq2Seq models, FSMT, Funnel Transformer, LXMERT
Hugging Face Transformers: Pegasus, DPR, self-documented outputs, new pipelines and MT support
Hugging Face Transformers v3.1.0. Source highlight: Pegasus, mBART, DPR, self-documented outputs and new pipelines
Hugging Face Transformers: Tokenizer fixes
Hugging Face Transformers v3.0.2 is published, but the available notes are too limited to assess upgrade impact. Review the official source before upgrading.
Hugging Face Transformers: Patch v3.0.1: Better backward compatibility for tokenizers
Hugging Face Transformers v3.0.1. Source highlight: Better backward-compatibility for tokenizers following v3.0.0 refactoring
Hugging Face Transformers: New tokenizer API, TensorFlow improvements, enhanced documentation & tutorials
Hugging Face Transformers v3.0.0. Source highlight: New tokenizer API, TensorFlow improvements, enhanced documentation & tutorials
Hugging Face Transformers: Longformer
Hugging Face Transformers v2.11.0. Source highlight: Longformer (@ibeltagy)
Hugging Face Transformers: Reformer, ElectraForSequenceClassification, ONNX conversion script
Hugging Face Transformers v2.10.0. Source highlight: Reformer (@patrickvonplaten)
Hugging Face Transformers: Marian
Hugging Face Transformers v2.9.1. Source highlight: A new model architecture, `MarianMTModel` with 1,008+ pretrained weights is available for machine translation in PyTorch.
Hugging Face Transformers: Trainer, TFTrainer, Multilingual BART, Encoder-decoder improvements, Generation Pipeline
Hugging Face Transformers v2.9.0. Source highlight: Trainer & TFTrainer (@julien-c)
Hugging Face Transformers: ELECTRA, Bad word filters, bugfixes & improvements
Hugging Face Transformers v2.8.0. Source highlight: ELECTRA Model (@LysandreJik)
Hugging Face Transformers: T5 Model, BART summarization example and reduced memory, translation pipeline
Hugging Face Transformers v2.7.0. Source highlight: T5 Model (@patrickvonplaten, @thomwolf )
Hugging Face Transformers: BART, organizations, community notebooks, lightning examples, dropping Python 3.5
Hugging Face Transformers v2.6.0. Source highlight: New Model: BART (added by @sshleifer)
Hugging Face Transformers: Patch v2.5.1: AutoTokenizer slow by default, bug fixes
Hugging Face Transformers v2.5.1. Source highlight: AutoTokenizer has been put back to False by default so as to not have a breaking change between 2.4.x and 2.5.x
Hugging Face Transformers: Rust Tokenizers, DistilBERT base cased, Model cards
Hugging Face Transformers v2.5.0. Source highlight: Rust tokenizers (@mfuntowicz, @n1t0 )
Hugging Face Transformers: Patch v2.4.1: FlauBERT for AutoModel and AutoTokenizer
Hugging Face Transformers v2.4.1 is published, but the available notes are too limited to assess upgrade impact. Review the official source before upgrading.
Hugging Face Transformers: FlauBERT, MMBT, UmBERTo, Dutch model, improved documentation, training from scratch, clean Python code
Hugging Face Transformers v2.4.0. Source highlight: FlauBERT, MMBT, UmBERTo
Hugging Face Transformers: Downstream NLP task API (feature extraction, text classification, NER, QA), Command-Line Interface and Serving – models: T5 – community-added models: Japanese & Finnish BERT, PPLM, XLM-R
Hugging Face Transformers v2.3.0. Source highlight: New class `Pipeline` (beta): easily run and use models on down-stream NLP tasks
Hugging Face Transformers: Bug fixes
Hugging Face Transformers v2.2.2 is published, but the available notes are too limited to assess upgrade impact. Review the official source before upgrading.
Hugging Face Transformers: Bug fixes related to input shape in TensorFlow and tokenization messages
Hugging Face Transformers v2.2.1. Source highlight: This patch fixes a bug related to the input shape in several models in TensorFlow.
Hugging Face Transformers: ALBERT, CamemBERT, DistilRoberta, GPT-2 XL, and Encoder-Decoder architectures
Hugging Face Transformers v2.2.0. Source highlight: New model architectures: ALBERT, CamemBERT, GPT2-XL, DistilRoberta
Hugging Face Transformers: CTRL, DistilGPT-2, Pytorch TPU, tokenizer enhancements, guideline requirements
Hugging Face Transformers v2.1.1. Source highlight: New model architectures: CTRL, DistilGPT-2
Hugging Face Transformers: Superseded by v2.1.1
Hugging Face Transformers v2.1.0 is published, but the available notes are too limited to assess upgrade impact. Review the official source before upgrading.
Hugging Face Transformers: v2.0.0 - TF 2.0/PyTorch interoperability, improved tokenizers, improved torchscript support
Hugging Face Transformers v2.0.0. Source highlight: Name change: welcome 🤗 Transformers
Hugging Face Transformers: DistilBERT, GPT-2 Large, XLM multilingual models, torch.hub, bug fixes
Hugging Face Transformers 1.2.0. Source highlight: New model architecture: DistilBERT
Hugging Face Transformers: New model: RoBERTa, tokenizer sequence pair handling for sequence classification models.
Hugging Face Transformers 1.1.0. Source highlight: **RoBERTa** (from Facebook), a Robustly Optimized BERT Pretraining Approach by Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du et al.
Hugging Face Transformers: v1.0.0 - Name change, new models (XLNet, XLM), unified API for models and tokenizer, access to models internals, torchscript
Hugging Face Transformers v1.0.0. Source highlight: Name change: welcome PyTorch-Transformers 👾
Hugging Face Transformers: Better model/tokenizer serialization, relax network connection requirements, new scripts and bug fixes
Hugging Face Transformers v0.6.2. Source highlight: Better serialization for all models and tokenizers (BERT, GPT, GPT-2 and Transformer-XL) with best practices for saving/loading in readme and examples.
Hugging Face Transformers: v0.6.1 - Small install tweak release
Hugging Face Transformers v0.6.1 is published, but the available notes are too limited to assess upgrade impact. Review the official source before upgrading.
Hugging Face Transformers: v0.6.0 - Adding OpenAI small GPT-2 pretrained model
Hugging Face Transformers v0.6.0 is published, but the available notes are too limited to assess upgrade impact. Review the official source before upgrading.