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en_pipeline
mtayyabp/en_pipeline
en_pipeline is a text classification model from mtayyabp. Use it when you need a label for a piece of text. It is set up for spacy.
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Repo size
10.7 MB
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Other6.6 MB · 61%
At a glance
- Task
- Text Classification
- Library
- spacy
- Access
- Public
- Created
- Feb 25, 2023
- Updated
- Feb 25, 2023
- SHA
- e2da1251
Try a prompt
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.0.5,<3.1.0 |
| Default Pipeline | tok2vec, textcat |
| Components | tok2vec, 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 | hunger, smell |
Accuracy
| Type | Score |
|---|---|
CATS_MICRO_P | 83.84 |
CATS_MICRO_R | 83.84 |
CATS_MICRO_F | 83.84 |
CATS_MACRO_P | 86.78 |
CATS_MACRO_R | 83.84 |
CATS_MACRO_F | 83.51 |
CATS_MACRO_AUC | 97.18 |
CATS_MACRO_AUC_PER_TYPE | 0.00 |
CATS_SCORE | 83.51 |
TOK2VEC_LOSS | 0.00 |
TEXTCAT_LOSS | 0.26 |
- Task
- Text Classification
- Library
- spacy
- Languages
- en
- Created
- Feb 25, 2023
- Updated
- Feb 25, 2023