# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("datummd/NCBI_BC5CDR_disease")
model = AutoModelForTokenClassification.from_pretrained("datummd/NCBI_BC5CDR_disease", device_map="auto")Quick Links
BioBERT model fine-tuned in NER task with BC5CDR-diseases and NCBI-diseases corpus along with selected pubtator annotations from LitCOVID dataset
This was fine-tuned in order to use it in a datummd/bionlp system which is available at: https://github.com/datummd/bionlp
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="datummd/NCBI_BC5CDR_disease")