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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19a9c7d435bd3ac260563420f50eba20468fade1d78bad86acc6006e764dae76
- Size of remote file:
- 1.58 GB
- SHA256:
- e09eaafebc3c3274a6f3b25f130c63a05bb01c2caba73d3393b6ae10d82335f0
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