!pip install https://huggingface.co/Zlovoblachko/L1_Interference_6Tags/resolve/main/L1_Interference_6Tags-any-py3-none-any.whl
# Using spacy.load().
import spacy
nlp = spacy.load("L1_Interference_6Tags")
# Importing as module.
import L1_Interference_6Tags
nlp = L1_Interference_6Tags.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 (6 labels for 1 components)
| Component | Labels |
|---|---|
spancat |
Transliteration, Tense semantics, Copying expression, Word form transmission, ``, Synonyms |
Accuracy
| Type | Score |
|---|---|
SPANS_SC_F |
84.05 |
SPANS_SC_P |
90.52 |
SPANS_SC_R |
78.45 |
TRANSFORMER_LOSS |
4357.83 |
SPANCAT_LOSS |
168248.57 |
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