# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("seldas/rxbert-v1")
model = AutoModelForMaskedLM.from_pretrained("seldas/rxbert-v1", device_map="auto")Quick Links
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Check out the documentation for more information.
RxBERT is a domain-specific BERT model that based on BioBERT, and further training by Drug Labeling documents.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="seldas/rxbert-v1")