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fr_pipeline
vsalamand/fr_pipeline
fr_pipeline is a token classification model from vsalamand. Use it when you need labels on individual words, such as names. It is set up for spacy.
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Repo size
8.8 MB
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At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jan 3, 2022
- SHA
- 11e0ffa2
Try a prompt
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | fr_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.2.1,<3.3.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
<details> <summary>View label scheme (4 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | FOOD PRODUCT, INGREDIENT, MEASURE, QUANTITY |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 91.33 |
ENTS_P | 90.11 |
ENTS_R | 92.58 |
TOK2VEC_LOSS | 8670.94 |
NER_LOSS | 4165.31 |
- Task
- Token Classification
- Library
- spacy
- Languages
- fr
- Created
- Mar 2, 2022
- Updated
- Jan 3, 2022