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GB.Protein-16B-peptide_HLA_MHC_affinity
genbio-ai/GB.Protein-16B-peptide_HLA_MHC_affinity
GB.Protein-16B-peptide_HLA_MHC_affinity is a machine learning model from genbio-ai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
LoRA fine-tuned checkpoint for peptideHLAMHCaffinity prediction.
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528 MB
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.ckpt176 MB · 100%
At a glance
- License
- other
- Access
- Public
- Created
- Nov 23, 2024
- Updated
- Jul 25, 2026
- SHA
- 05ca353c
Base models
Datasets
Model card
From the Hugging Face model README
LoRA fine-tuned checkpoint for peptide_HLA_MHC_affinity prediction.
How to Use
Download model
from huggingface_hub import snapshot_download
from pathlib import Path
model_name = "genbio-ai/GB.Protein-16B-peptide_HLA_MHC_affinity"
genbio_models_path = Path.home().joinpath('genbio_models', model_name)
genbio_models_path.mkdir(parents=True, exist_ok=True)
snapshot_download(repo_id=model_name, local_dir=genbio_models_path)
Load model for inference
import torch
from modelgenerator.tasks import SequenceClassification
ckpt_path = genbio_models_path.joinpath('model.ckpt')
model = SequenceClassification.load_from_checkpoint(ckpt_path, strict_loading=False).eval()
collated_batch = model.transform({"sequences": ["ACGT", "AGCT"]})
logits = model(collated_batch)
print(logits)
print(torch.argmax(logits, dim=-1))
- License
- other
- Created
- Nov 23, 2024
- Updated
- Jul 25, 2026