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🤗 Transformers provides APIs and tools to easily download and train state-of-the-art pretrained models. Using pretrained models can reduce your compute costs, carbon footprint, and save you the time and resources required to train a model from scratch.
- Time Series Transformer
A transformers.modeling_outputs.Seq2SeqTSModelOutput or a...
- Bert
Overview. The BERT model was proposed in BERT: Pre-training...
- Tokenizer
Parameters . new_tokens (str, tokenizers.AddedToken or a...
- Train With a Script
Run a script with 🤗 Accelerate. 🤗 Accelerate is a...
- Trainer
Trainer is a simple but feature-complete training and eval...
- Training on One GPU
PyTorch’s torch.nn.functional.scaled_dot_product_attention...
- Pipelines
torch_dtype (str or torch.dtype, optional) — Sent directly...
- Installation
Install 🤗 Transformers for whichever deep learning library...
- Time Series Transformer
Train state-of-the-art models in 3 lines of code. Deep interoperability between TensorFlow 2.0 and PyTorch models. Move a single model between TF2.0/PyTorch frameworks at will. Seamlessly pick the right framework for training, evaluation, production.
Text classification is a common NLP task that assigns a label or class to text. Some of the largest companies run text classification in production for a wide range of practical applications.
20 nov. 2023 · Hugging Face Transformers offers cutting-edge machine learning tools for PyTorch, TensorFlow, and JAX. This platform provides easy-to-use APIs and tools for downloading and training top-tier pretrained models.
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow. 🤗 Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. These models can be applied on: 📝 Text, for tasks like text classification, information extraction, question answering, summarization ...
TRANSFORMERS ALL MOVIES. by MWindigo • Created 6 years ago • Modified 6 years ago. List activity. 71K views. 362 this week. Create a new list. List your movie, TV & celebrity picks. 5 titles. Sort by List order. 1. Transformers. 2007 2h 24m PG-13. 7.0 (679K) Rate. 61 Metascore.
9 oct. 2019 · Transformer architectures have facilitated building higher-capacity models and pretraining has made it possible to effectively utilize this capacity for a wide variety of tasks. \textit {Transformers} is an open-source library with the goal of opening up these advances to the wider machine learning community.
