Instructions to use seldas/rxbert-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seldas/rxbert-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="seldas/rxbert-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("seldas/rxbert-v1") model = AutoModelForMaskedLM.from_pretrained("seldas/rxbert-v1") - Notebooks
- Google Colab
- Kaggle
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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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