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en_pipeline
Bahadori57/en_pipeline
en_pipeline is a text classification model from Bahadori57. Use it when you need a label for a piece of text. It is set up for spacy.
All-time downloads
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Repo size
503 MB
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Other36.6 MB · 53%
At a glance
- Task
- Text Classification
- Library
- spacy
- Access
- Public
- Created
- May 16, 2025
- Updated
- May 16, 2025
- SHA
- c8257c29
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Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.8.5,<3.9.0 |
| Default Pipeline | tok2vec, textcat |
| Components | tok2vec, textcat |
| Vectors | 684830 keys, 342918 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
<details> <summary>View label scheme (2 labels for 1 components)</summary>| Component | Labels |
|---|---|
textcat | spam, ham |
Accuracy
| Type | Score |
|---|---|
CATS_SCORE | 95.67 |
CATS_MICRO_P | 98.12 |
CATS_MICRO_R | 98.12 |
CATS_MICRO_F | 98.12 |
CATS_MACRO_P | 97.62 |
CATS_MACRO_R | 93.93 |
CATS_MACRO_F | 95.67 |
CATS_MACRO_AUC | 98.08 |
TOK2VEC_LOSS | 1012.53 |
TEXTCAT_LOSS | 538.78 |
- Task
- Text Classification
- Library
- spacy
- Languages
- en
- Created
- May 16, 2025
- Updated
- May 16, 2025