en_pytt_distilbertbaseuncased_lg-2.1.0
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Details: https://spacy.io/models/en#en_pytt_distilbertbaseuncased_lg
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ce1721a5bc849d23d9af5e4cdfcc041bb801349f025c2534ac9af8883e29e423
Provides weights and configuration for the pretrained transformer model distilbert-base-uncased, published by Hugging Face. The package uses Hugging Face's pytorch-transformers implementation of the model. Pretrained transformer models assign detailed contextual word representations, using knowledge drawn from a large corpus of unlabelled text. You can use the contextual word representations as features in a variety of pipeline components that can be trained on your own data.
Requires the spacy-pytorch-transformers package to be installed. A CUDA-compatible GPU is advised for reasonable performance.
| Feature | Description |
|---|---|
| Name | en_pytt_distilbertbaseuncased_lg |
| Version | 2.1.0 |
| spaCy | >=2.1.7 |
| Model size | 245 MB |
| Pipeline | sentencizer, pytt_wordpiecer, pytt_tok2vec |
| Sources | distilbert-base-uncased |
| License | MIT |
| Author | Hugging Face (repackaged by Explosion) |
Installation
pip install spacy
pip install spacy-pytorch-transformers
spacy download en_pytt_distilbertbaseuncased_lg