de_pytt_bertbasecased_lg-2.1.0
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Details: https://spacy.io/models/de#de_pytt_bertbasecased_lg
File checksum:
5c5f585bbe23f8c1d565a52cec3400467892cbeb8e1a62ba45335d8c209b275c
Provides weights and configuration for the pretrained transformer model bert-base-german-cased, published by deepset. The package uses HuggingFace'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 | de_pytt_bertbasecased_lg |
| Version | 2.1.0 |
| spaCy | >=2.1.7 |
| Model size | 406 MB |
| Pipeline | sentencizer, pytt_wordpiecer, pytt_tok2vec |
| Sources | bert-base-german-cased |
| License | MIT |
| Author | deepset (repackaged by Explosion) |
Installation
pip install spacy
spacy download de_pytt_bertbasecased_lg