huggingface / tokenizersLinks
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
☆10,431Updated this week
Alternatives and similar repositories for tokenizers
Users that are interested in tokenizers are comparing it to the libraries listed below
Sorting:
- Unsupervised text tokenizer for Neural Network-based text generation.☆11,600Updated last week
- 🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools☆21,122Updated 2 weeks ago
- 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (i…☆9,461Updated 2 weeks ago
- An open-source NLP research library, built on PyTorch.☆11,889Updated 3 years ago
- Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"☆6,485Updated 2 weeks ago
- Facebook AI Research Sequence-to-Sequence Toolkit written in Python.☆32,111Updated 4 months ago
- A very simple framework for state-of-the-art Natural Language Processing (NLP)☆14,344Updated 3 months ago
- Papers & presentation materials from Hugging Face's internal science day☆2,053Updated 5 years ago
- Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conve…☆4,227Updated 5 months ago
- Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages☆7,717Updated last week
- State-of-the-Art Text Embeddings☆18,153Updated 3 weeks ago
- The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic …☆3,629Updated last week
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆30,779Updated this week
- XLNet: Generalized Autoregressive Pretraining for Language Understanding☆6,172Updated 2 years ago
- 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization…☆3,270Updated 2 weeks ago
- 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal model…☆155,627Updated last week
- The implementation of DeBERTa☆2,190Updated 2 years ago
- Ongoing research training transformer models at scale☆15,016Updated this week
- BertViz: Visualize Attention in Transformer Models☆7,887Updated 3 weeks ago
- Accessible large language models via k-bit quantization for PyTorch.☆7,912Updated last week
- 🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code☆2,823Updated 2 years ago
- 🤗 Evaluate: A library for easily evaluating machine learning models and datasets.☆2,408Updated last week
- An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries☆7,371Updated last month
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,663Updated last month
- Simple, safe way to store and distribute tensors☆3,604Updated 2 weeks ago
- ALBERT: A Lite BERT for Self-supervised Learning of Language Representations☆3,274Updated 2 years ago
- Natural Language Processing Best Practices & Examples☆6,443Updated 3 years ago
- A framework for training and evaluating AI models on a variety of openly available dialogue datasets.☆10,626Updated 2 years ago
- A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Auto…☆16,643Updated this week
- ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators☆2,369Updated last year