# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("psybertpt/psyBERTpt")
model = AutoModelForTokenClassification.from_pretrained("psybertpt/psyBERTpt")Quick Links
Portuguese Clinical NER - Psychiatric Specialized
This model is the first clinical psychiatric specialized model for the portuguese language. We annotated 9 categories from admission notes of an emergency specialized hospital of psychiatry in Brazil. The article: PsyBERTpt: A Clinical Entity Recognition Model for Psychiatric Narratives, is waiting to be published.
NER Categories:
- Self-Destructive Behavior
- Diagnosis
- Drug
- Pharmaceutical
- Psychic Function
- Family History
- Patient History
- Observation
- Symptom and Psychological Complaint
Acknowledgements
this model can only be developed thanks to the fantastic work of committed people, who are part of the following institutions:
- Universidade Estadual Paulista Júlio de Mesquita Filho - UNESP
- Faculdade de Medicina de São José do Rio Preto - FAMERP
- Pontífica Universidade Católica do Paraná - PUCPR
- Hospital Dr. Adolfo Bezerra de Menezes - HABM
Citation
Waiting to be published
Questions?
Post a Github issue on the psyBERTpt repo.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="psybertpt/psyBERTpt")