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fr_ner_ingredients
vsalamand/fr_ner_ingredients
fr_ner_ingredients 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
17.7 MB
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1
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At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jan 5, 2022
- SHA
- c0f9af7d
Try a prompt
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | fr_ner_ingredients |
| 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 (5 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | BRAND, FOOD PRODUCT, INGREDIENT, MEASURE, QUANTITY |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 90.05 |
ENTS_P | 89.90 |
ENTS_R | 90.20 |
TOK2VEC_LOSS | 65769.53 |
NER_LOSS | 7865.95 |
- Task
- Token Classification
- Library
- spacy
- Languages
- fr
- Created
- Mar 2, 2022
- Updated
- Jan 5, 2022