Instructions to use Zamoranesis/clinical_transcripts_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zamoranesis/clinical_transcripts_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Zamoranesis/clinical_transcripts_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Zamoranesis/clinical_transcripts_roberta") model = AutoModelForMaskedLM.from_pretrained("Zamoranesis/clinical_transcripts_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- text: "General endotracheal <mask> was induced without incident. Preoperative antibiotics were given for prophylaxis against surgical infection."
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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