Downloads · 30 days
2
1% of all-time downloads
en_ner_reddit_cooking
wesslen/en_ner_reddit_cooking
en_ner_reddit_cooking is a token classification model from wesslen. Use it when you need labels on individual words, such as names. It is set up for spacy.
All-time downloads
189
Public
Repo size
11.7 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
Other6.2 MB · 51%
At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Feb 14, 2024
- Updated
- Feb 14, 2024
- SHA
- 2716ce0d
Try a prompt
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_ner_reddit_cooking |
| Version | 3.0.0 |
| spaCy | >=3.6.1,<3.7.0 |
| 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 (3 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | DISH, EQUIPMENT, INGREDIENT |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 62.48 |
ENTS_P | 62.26 |
ENTS_R | 62.70 |
TOK2VEC_LOSS | 76363.02 |
NER_LOSS | 153362.98 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Feb 14, 2024
- Updated
- Feb 14, 2024