Details: https://spacy.io/models/en#en_trf_bertbaseuncased_lg
File checksum:
c2fa0f48ff5bf176a69ee0439a8d9b9f068a8805be8de60d38b1cac071d149c4
Provides weights and configuration for the pretrained transformer model bert-base-uncased, published by Google Research. The package uses HuggingFace's 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.
| Feature | Description |
|---|---|
| Name | en_trf_bertbaseuncased_lg
|
| Version | 2.2.0
|
| spaCy | >=2.2.1
|
| Model size | 387 MB |
| Pipeline | sentencizer, trf_wordpiecer, trf_tok2vec
|
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | bert-base-uncased (Google Research) |
| License | MIT
|
| Author | Google Research (repackaged by Explosion) |
Requires the spacy-transformers package to be installed. A CUDA-compatible GPU is advised for reasonable performance.
Installation
pip install spacy
python -m spacy download en_trf_bertbaseuncased_lg