Instructions to use Zlovoblachko/en_realec3_deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Zlovoblachko/en_realec3_deberta with spaCy:
!pip install https://huggingface.co/Zlovoblachko/en_realec3_deberta/resolve/main/en_realec3_deberta-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_realec3_deberta") # Importing as module. import en_realec3_deberta nlp = en_realec3_deberta.load() - Notebooks
- Google Colab
- Kaggle
| Feature | Description |
|---|---|
| Name | en_realec3_deberta |
| Version | 0.0.0 |
| spaCy | >=3.7.5,<3.8.0 |
| Default Pipeline | transformer, spancat |
| Components | transformer, spancat |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (3 labels for 1 components)
| Component | Labels |
|---|---|
spancat |
R, U, M |
Accuracy
| Type | Score |
|---|---|
SPANS_SC_F |
55.30 |
SPANS_SC_P |
63.39 |
SPANS_SC_R |
49.04 |
TRANSFORMER_LOSS |
24215.46 |
SPANCAT_LOSS |
2403110.51 |
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