Instructions to use Moonn1205/AntigenLM-prediction-sequence with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Moonn1205/AntigenLM-prediction-sequence with Transformers:
# Load model directly from transformers import AutoTokenizer, GPTForFluMultiTask tokenizer = AutoTokenizer.from_pretrained("Moonn1205/AntigenLM-prediction-sequence") model = GPTForFluMultiTask.from_pretrained("Moonn1205/AntigenLM-prediction-sequence", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91fb8122edcd240040fa3742cb00d3151d7b6da83c24846216be2aceebfcfcf6
- Size of remote file:
- 1.08 GB
- SHA256:
- 6b942a0e2d6af0528a7307ff5754438ad55fdb97390297e9c0f11ffc9803dbff
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