Fill-Mask
Transformers
PyTorch
Safetensors
English
modernbert
masked-lm
long-context
BioClinical-ModernBERT
clinical
biomedical
clinical encoder
clinical modern bert
Instructions to use thomas-sounack/BioClinical-ModernBERT-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thomas-sounack/BioClinical-ModernBERT-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="thomas-sounack/BioClinical-ModernBERT-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("thomas-sounack/BioClinical-ModernBERT-large") model = AutoModelForMaskedLM.from_pretrained("thomas-sounack/BioClinical-ModernBERT-large", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
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## Table of Contents
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1. [Model Summary](#model-summary)
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2. [Usage](#
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3. [Training](#training)
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4. [Evaluation](#
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5. [License](#license)
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6. [Citation](#citation)
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## Table of Contents
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1. [Model Summary](#model-summary)
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2. [Usage](#usage)
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3. [Training](#training)
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4. [Evaluation](#evaluation)
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5. [License](#license)
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6. [Citation](#citation)
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