Instructions to use Zlovoblachko/L1_Synonyms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Zlovoblachko/L1_Synonyms with spaCy:
!pip install https://huggingface.co/Zlovoblachko/L1_Synonyms/resolve/main/L1_Synonyms-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("L1_Synonyms") # Importing as module. import L1_Synonyms nlp = L1_Synonyms.load() - Notebooks
- Google Colab
- Kaggle
| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.4.4,<3.5.0 |
| 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 |
Synonyms, `` |
Accuracy
| Type | Score |
|---|---|
SPANS_SC_F |
67.47 |
SPANS_SC_P |
71.19 |
SPANS_SC_R |
64.12 |
TRANSFORMER_LOSS |
3892.08 |
SPANCAT_LOSS |
31096.88 |
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