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AntigenLM-prediction-sequence
Moonn1205/AntigenLM-prediction-sequence
AntigenLM-prediction-sequence is a machine learning model from Moonn1205. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
Generative head of AntigenLM that autoregressively forecasts the next time-window influenza HA/NA nucleotide block from three historical blocks.
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.bin1.1 GB · 100%
At a glance
- Library
- transformers
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Aug 6, 2026
- Updated
- Aug 6, 2026
- SHA
- 981feb40
Model card
From the Hugging Face model README
AntigenLM - HA/NA Sequence Forecasting
Generative head of AntigenLM that autoregressively forecasts the next time-window influenza HA/NA nucleotide block from three historical blocks.
Paper: AntigenLM: Structure-Aware DNA Language Modeling for Influenza (arXiv:2602.09067). Code: https://github.com/Moonn1205/AntigenLM <!-- update with the real repo URL -->
Usage
pip install huggingface_hub transformers==4.29.2 torch==1.13.1
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="Moonn1205/AntigenLM-prediction-sequence",
local_dir="prediction_sequence",
local_dir_use_symlinks=False,
)
Then follow the instructions in the code repository to run inference.
Files
pytorch_model.bin- model weightsconfig.json- GPT-2 backbone config + (classifier only)label2id/id2labelvocab.json,tokenizer_config.json,special_tokens_map.json,added_tokens.json- tokenizer
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Aug 6, 2026
- Updated
- Aug 6, 2026