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en_pipeline
hsengiv/en_pipeline
en_pipeline is a text classification model from hsengiv. Use it when you need a label for a piece of text. It is set up for spacy.
All-time downloads
210
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Repo size
974 MB
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0
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Other511 MB · 52%
At a glance
- Task
- Text Classification
- Library
- spacy
- Access
- Public
- Created
- Feb 26, 2023
- Updated
- Feb 26, 2023
- SHA
- 0bfa64e0
Try a prompt
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.1.0 |
| spaCy | >=3.3.1,<3.4.0 |
| Default Pipeline | transformer, textcat |
| Components | transformer, textcat |
| Vectors | 0 keys, 0 unique vectors (0 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 | negative, positive |
Accuracy
| Type | Score |
|---|---|
CATS_SCORE | 91.18 |
CATS_MICRO_P | 91.20 |
CATS_MICRO_R | 91.20 |
CATS_MICRO_F | 91.20 |
CATS_MACRO_P | 91.68 |
CATS_MACRO_R | 91.20 |
CATS_MACRO_F | 91.18 |
CATS_MACRO_AUC | 95.12 |
CATS_MACRO_AUC_PER_TYPE | 0.00 |
TRANSFORMER_LOSS | 863.63 |
TEXTCAT_LOSS | 5818.88 |
- Task
- Text Classification
- Library
- spacy
- Languages
- en
- Created
- Feb 26, 2023
- Updated
- Feb 26, 2023