Instructions to use Zlovoblachko/L1_Copying_expression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Zlovoblachko/L1_Copying_expression with spaCy:
!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() - Notebooks
- Google Colab
- Kaggle
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Download README.md from Zlovoblachko/L1_Copying_expression: direct link, hf CLI and curl.
- Browser
- Download file 806 Bytes
-
https://huggingface.co/Zlovoblachko/L1_Copying_expression/resolve/main/README.md
- Command line
-
hf download hf://Zlovoblachko/L1_Copying_expression/README.md
-
curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/Zlovoblachko/L1_Copying_expression/resolve/main/README.md
806 Bytes
metadata
tags:
- spacy
language:
- en
model-index:
- name: en_pipeline
results: []
| 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 |