Fill-Mask
Transformers
Safetensors
English
modernbert
biomedical
clinical
encoder
Eval Results (legacy)
Instructions to use almanach/ModernBERT-bio-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use almanach/ModernBERT-bio-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="almanach/ModernBERT-bio-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("almanach/ModernBERT-bio-large") model = AutoModelForMaskedLM.from_pretrained("almanach/ModernBERT-bio-large") - Notebooks
- Google Colab
- Kaggle
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README.md
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# ModernBERT-bio-large
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*ModernBERT-bio is available in two sizes: [base](https://huggingface.co/almanach/ModernBERT-bio-base) (149M parameters) and [large](https://huggingface.co/almanach/ModernBERT-bio-large) (396M parameters).
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## Table of Contents
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# ModernBERT-bio-large
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*ModernBERT-bio is available in two sizes: [base](https://huggingface.co/almanach/ModernBERT-bio-base) (149M parameters) and [large](https://huggingface.co/almanach/ModernBERT-bio-large) (396M parameters).*
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## Table of Contents
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