Allen Institute for AI
non-profit • 63 models
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Inference API
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Fill-Mask
Mask token:
[MASK]This model can be loaded on the Inference API on-demand.
Token Classification
This model can be loaded on the Inference API on-demand.
Open Source
Transformers
Transformers is our natural language processing library and our hub is now open to all ML models, with support from libraries like Flair, Asteroid, ESPnet, Pyannote, and more to come.
Check documentationhuggingface@transformers:~
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
model = AutoModelForMaskedLM.from_pretrained("bert-base-uncased")Science
Our Research contributions
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.
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HMTL
Hierarchical Multi-Task Learning
Our paper has been accepted to AAAI 2019. We have open-sourced code and demo.
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Thomas Wolf et AL.
Meta-learning for language modeling
Our workshop paper on Meta-Learning a Dynamical Language Model was accepted to ICLR 2018. We use our implementation to power 🤗.
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Auto-complete your thoughts
Write with Transformers
This web app, built by the Hugging Face team, is the official demo of the Transformers repository's text generation capabilities.
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State of the art
Neuralcoref
Our coreference resolution module is now the top open source library for coreference. You can train it on your own dataset and language.
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Victor Sanh et AL. 2019
DistilBERT
Distilllation. A smaller, faster, lighter, cheaper version of BERT. Code and weights are available through Transformers.
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Resources