Instructions to use Zlovoblachko/en_REALEC_GED_spacy_roberta_1level with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Zlovoblachko/en_REALEC_GED_spacy_roberta_1level with spaCy:
!pip install https://huggingface.co/Zlovoblachko/en_REALEC_GED_spacy_roberta_1level/resolve/main/en_REALEC_GED_spacy_roberta_1level-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_REALEC_GED_spacy_roberta_1level") # Importing as module. import en_REALEC_GED_spacy_roberta_1level nlp = en_REALEC_GED_spacy_roberta_1level.load() - Notebooks
- Google Colab
- Kaggle
| Feature | Description |
|---|---|
| Name | en_REALEC_GED_spacy_roberta_1level |
| 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 (2 labels for 1 components)
| Component | Labels |
|---|---|
spancat |
R, U |
Accuracy
| Type | Score |
|---|---|
SPANS_SC_F |
70.45 |
SPANS_SC_P |
82.11 |
SPANS_SC_R |
61.68 |
TRANSFORMER_LOSS |
24389.78 |
SPANCAT_LOSS |
1086301.60 |
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