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tsantosh7/en_BiomedNER_EuropePMC
en_BiomedNER_EuropePMC is a token classification model from tsantosh7. Use it when you need labels on individual words, such as names. It is set up for spacy.
Bio literature Named Entity Recognition using microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext transformer model. The model recognises the following entities: CD: Chemical/Drugs, DS: Diseases, GP: Gene/Pr…
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From the Hugging Face model README
Bio literature Named Entity Recognition using microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext transformer model. The model recognises the following entities: CD: Chemical/Drugs, DS: Diseases, GP: Gene/Protein and OG: Organism
| Feature | Description |
|---|---|
| Name | en_BiomedNER_EuropePMC |
| Version | 1.0.0 |
| spaCy | >=3.2.4,<3.3.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | Santosh Tirunagari |
| Component | Labels |
|---|---|
ner | CD, DS, GP, OG |
| Type | Score |
|---|---|
ENTS_F | 88.82 |
ENTS_P | 87.14 |
ENTS_R | 90.57 |
TRANSFORMER_LOSS | 92291.81 |
NER_LOSS | 109755.03 |