Harvesting forks from GitHub — first visit takes a few seconds…
Harvesting forks from GitHub — first visit takes a few seconds…
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
No comments yet. Be the first.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
View on GitHub ↗🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
View on GitHub ↗A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
View on GitHub ↗🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
View on GitHub ↗🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
View on GitHub ↗🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
View on GitHub ↗🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
View on GitHub ↗🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
View on GitHub ↗🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
View on GitHub ↗A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
View on GitHub ↗A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
View on GitHub ↗🚀 Implementation of easy-to-use 3D parallelism based on Huggingface Transformers & Microsoft DeepSpeed
View on GitHub ↗🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
View on GitHub ↗A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
View on GitHub ↗👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)
View on GitHub ↗🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
View on GitHub ↗🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
View on GitHub ↗🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
View on GitHub ↗🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
View on GitHub ↗🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
View on GitHub ↗🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
View on GitHub ↗Transformers for Cost-Sensitive BERT for Generalisable Sentence Classification on Imbalanced Data
View on GitHub ↗🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
View on GitHub ↗🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
View on GitHub ↗📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
View on GitHub ↗🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
View on GitHub ↗🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
View on GitHub ↗📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
View on GitHub ↗🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
View on GitHub ↗🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
View on GitHub ↗🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
View on GitHub ↗📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
View on GitHub ↗🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
View on GitHub ↗🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
View on GitHub ↗🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
View on GitHub ↗🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
View on GitHub ↗🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
View on GitHub ↗📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
View on GitHub ↗PyTorch version of Google AI's BERT model with script to load Google's pre-trained models
View on GitHub ↗🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
View on GitHub ↗🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
View on GitHub ↗🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
View on GitHub ↗🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
View on GitHub ↗🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
View on GitHub ↗📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
View on GitHub ↗🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
View on GitHub ↗🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
View on GitHub ↗
Comments (0)