Allen Institute for AI
non-profit • 53 models
Browse the model hub to discover, experiment and contribute to new state of the art models.Explore models
Serve your models directly from Hugging Face infrastructure and run large scale NLP models in milliseconds with just a few lines of code.Learn more
from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased") model = AutoModelForMaskedLM.from_pretrained("bert-base-uncased")
We’re on a journey to advance and democratize NLP for everyone. Along the way, we contribute to the development of technology for the better.
Our paper has been accepted to AAAI 2019. We have open-sourced code and demo.Read more
Thomas Wolf et AL.
Our workshop paper on Meta-Learning a Dynamical Language Model was accepted to ICLR 2018. We use our implementation to power 🤗.Read more
Auto-complete your thoughts
This web app, built by the Hugging Face team, is the official demo of the Transformers repository's text generation capabilities.Start writing
State of the art
Our coreference resolution module is now the top open source library for coreference. You can train it on your own dataset and language.Read more
Victor Sanh et AL. 2019
Distilllation. A smaller, faster, lighter, cheaper version of BERT. Code and weights are available through Transformers.Read more