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is_ner_mim_sm
elisno/is_ner_mim_sm
is_ner_mim_sm is a token classification model from elisno. Use it when you need labels on individual words, such as names. It is set up for spacy.
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At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Sep 5, 2021
- SHA
- bc6f7bab
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | is_ner_mim_sm |
| Version | 0.0.0 |
| spaCy | >=3.1.1,<3.2.0 |
| 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 (8 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | Date, Location, Miscellaneous, Money, Organization, Percent, Person, Time |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 79.11 |
ENTS_P | 80.29 |
ENTS_R | 77.96 |
TOK2VEC_LOSS | 1079057.14 |
NER_LOSS | 792494.23 |
- Task
- Token Classification
- Library
- spacy
- Languages
- is
- Created
- Mar 2, 2022
- Updated
- Sep 5, 2021