Downloads · 30 days
0
0% of all-time downloads
da_multi_dupli_onto_xlm_roberta_large
emiltj/da_multi_dupli_onto_xlm_roberta_large
da_multi_dupli_onto_xlm_roberta_large is a token classification model from emiltj. Use it when you need labels on individual words, such as names. It is set up for spacy.
All-time downloads
48
Public
Repo size
4.1 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
Other2.3 GB · 56%
At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Feb 6, 2023
- Updated
- Feb 6, 2023
- SHA
- 2aea1ea2
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | da_multi_dupli_onto_xlm_roberta_large |
| Version | 0.0.0 |
| spaCy | >=3.5.0,<3.6.0 |
| 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 (16 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | CARDINAL, DATE, EVENT, FACILITY, GPE, LAW, LOCATION, MONEY, NORP, ORDINAL, ORGANIZATION, PERSON, PRODUCT, QUANTITY, TIME, WORK OF ART |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 80.00 |
ENTS_P | 77.85 |
ENTS_R | 82.27 |
TRANSFORMER_LOSS | 17711.38 |
NER_LOSS | 289765.47 |
- Task
- Token Classification
- Library
- spacy
- Languages
- da
- Created
- Feb 6, 2023
- Updated
- Feb 6, 2023