Instructions to use NaturalAntibody/nanoBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NaturalAntibody/nanoBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NaturalAntibody/nanoBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NaturalAntibody/nanoBERT") model = AutoModelForMaskedLM.from_pretrained("NaturalAntibody/nanoBERT") - Inference
- Notebooks
- Google Colab
- Kaggle
Model Card for nanoBERT
nanoBERT is a nanobody-specific transformer to predict amino acids in a given position in a query sequence.
The model was trained on nanobody sequences from INDI (Integrated Nanobody Database for Immunoinformatics)
Example usage: notebook.
For more information please contact: contact@naturalantibody.com
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