Instructions to use Zlovoblachko/en_REALEC_GED_2level_spacy_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Zlovoblachko/en_REALEC_GED_2level_spacy_model with spaCy:
!pip install https://huggingface.co/Zlovoblachko/en_REALEC_GED_2level_spacy_model/resolve/main/en_REALEC_GED_2level_spacy_model-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_REALEC_GED_2level_spacy_model") # Importing as module. import en_REALEC_GED_2level_spacy_model nlp = en_REALEC_GED_2level_spacy_model.load() - Notebooks
- Google Colab
- Kaggle
| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.8.5,<3.9.0 |
| 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 |
55.89 |
SPANS_SC_P |
68.30 |
SPANS_SC_R |
47.30 |
TRANSFORMER_LOSS |
65863.50 |
SPANCAT_LOSS |
1038316.25 |
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