Instructions to use xdai/mimic_roberta_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xdai/mimic_roberta_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="xdai/mimic_roberta_base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("xdai/mimic_roberta_base") model = AutoModelForMaskedLM.from_pretrained("xdai/mimic_roberta_base") - Notebooks
- Google Colab
- Kaggle
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README.md
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tags:
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- Clinical notes
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- Discharge summaries
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license: "cc-by-4.0"
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datasets:
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- MIMIC-III
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tags:
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- Clinical notes
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- Discharge summaries
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- RoBERTa
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license: "cc-by-4.0"
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datasets:
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- MIMIC-III
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