Downloads · 30 days
5
1% of all-time downloads
PlanTL-GOB-ES/es_cantemist_ner_trf
es_cantemist_ner_trf is a token classification model from PlanTL-GOB-ES. Use it when you need labels on individual words, such as names. It is set up for spacy. The card lists the license as gpl-3.0.
Basic Spacy BioNER pipeline, with a RoBERTa-based model [bsc-bio-ehr-es] (https://huggingface.co/PlanTL-GOB-ES/bsc-bio-ehr-es) and a dataset, CANTEMIST, annotated with tumour morphology entities. For further informati…
Downloads · 30 days
5
1% of all-time downloads
All-time downloads
554
Public
Repo size
1.4 GB
Likes
1
Public
Click a slice to open those files.
Other503 MB · 53%
From the Hugging Face model README
Basic Spacy BioNER pipeline, with a RoBERTa-based model [bsc-bio-ehr-es] (https://huggingface.co/PlanTL-GOB-ES/bsc-bio-ehr-es) and a dataset, CANTEMIST, annotated with tumour morphology entities. For further information, check the official website. Visit our GitHub repository. This work was funded by the Spanish State Secretariat for Digitalization and Artificial Intelligence (SEDIA) within the framework of the Plan-TL
| Feature | Description |
|---|---|
| Name | es_cantemist_ner_trf |
| Version | 3.4.0 |
| spaCy | >=3.4.0,<3.5.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | https://huggingface.co/datasets/PlanTL-GOB-ES/cantemist-ner |
| License | [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0) |
| Author | The Text Mining Unit from Barcelona Supercomputing Center. |
| Copyright | Copyright by the Spanish State Secretariat for Digitalization and Artificial Intelligence (SEDIA) (2022) |
| Funding | This work was funded by the Spanish State Secretariat for Digitalization and Artificial Intelligence (SEDIA) within the framework of the Plan-TL |
| Component | Labels |
|---|---|
ner | MORFOLOGIA_NEOPLASIA |
| Type | Score |
|---|---|
ENTS_F | 84.52 |
ENTS_P | 84.88 |
ENTS_R | 84.16 |
TRANSFORMER_LOSS | 25646.78 |
NER_LOSS | 9622.84 |