How to use BrundageLab/Bio_ClinicalBERT-finetuned-ner-vet-private with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BrundageLab/Bio_ClinicalBERT-finetuned-ner-vet-private")
# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("BrundageLab/Bio_ClinicalBERT-finetuned-ner-vet-private") model = AutoModelForTokenClassification.from_pretrained("BrundageLab/Bio_ClinicalBERT-finetuned-ner-vet-private", device_map="auto")
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