!pip install https://huggingface.co/Zlovoblachko/L1_Copying_expression/resolve/main/L1_Copying_expression-any-py3-none-any.whl
# Using spacy.load().
import spacy
nlp = spacy.load("L1_Copying_expression")
# Importing as module.
import L1_Copying_expression
nlp = L1_Copying_expression.load()| 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 (1 labels for 1 components)
| Component | Labels |
|---|---|
spancat |
Copying expression |
Accuracy
| Type | Score |
|---|---|
SPANS_SC_F |
61.54 |
SPANS_SC_P |
80.00 |
SPANS_SC_R |
50.00 |
TRANSFORMER_LOSS |
2250.61 |
SPANCAT_LOSS |
59989.48 |
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