Downloads · 30 days
1
1% of all-time downloads
en_manual_annotation_spacy_sector
khanzaid/en_manual_annotation_spacy_sector
en_manual_annotation_spacy_sector is a token classification model from khanzaid. Use it when you need labels on individual words, such as names. It is set up for spacy.
All-time downloads
106
Public
Repo size
931 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
Other502 MB · 54%
At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- May 15, 2024
- Updated
- May 15, 2024
- SHA
- 86730ec6
Try a prompt
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_hand_anotation_news |
| Version | 0.0.0 |
| spaCy | >=3.7.4,<3.8.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, 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 (1 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | INDUSTRY |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 83.97 |
ENTS_P | 81.00 |
ENTS_R | 87.15 |
TRANSFORMER_LOSS | 610.58 |
NER_LOSS | 6041.33 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- May 15, 2024
- Updated
- May 15, 2024