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Transformers
Transformers is our natural language processing library and our hub is now open to all ML models, with support from libraries likeFlair,Asteroid,ESPnet,Pyannote, and more to come.
Read documentationfromtransformersimportAutoTokenizer,AutoModelForMaskedLMtokenizer= AutoTokenizer.from_pretrained("bert-base-uncased")model=AutoModelForMaskedLM.from_pretrained("bert-base-uncased")
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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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T0
Multitask Prompted Training Enables Zero-Shot Task Generalization
Open source state-of-the-art zero-shot language model out ofBigScience.
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DistilBERT
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
A smaller, faster, lighter, cheaper version of BERT obtained via model distillation.
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HMTL
Hierarchical Multi-Task Learning
Learning embeddings from semantic tasks for multi-task learning. We have open-sourced code and a demo.
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Dynamical Language Models
Meta-learning for language modeling
A meta learner is trained via gradient descent to continuously and dynamically update language model weights.
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State of the art
Neuralcoref
Our open source coreference resolution library for coreference. You can train it on your own dataset and language.
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This web app is the official demo of the Transformers repository 's text generation capabilities.
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