Instructions to use Moonn1205/AntigenLM-subtype-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Moonn1205/AntigenLM-subtype-classifier with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, GPTForFluMultiTask tokenizer = AutoTokenizer.from_pretrained("Moonn1205/AntigenLM-subtype-classifier") model = GPTForFluMultiTask.from_pretrained("Moonn1205/AntigenLM-subtype-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Moonn1205/AntigenLM-subtype-classifier: direct link, hf CLI and curl.
- Browser
- Download file 1.08 GB
-
https://huggingface.co/Moonn1205/AntigenLM-subtype-classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Moonn1205/AntigenLM-subtype-classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Moonn1205/AntigenLM-subtype-classifier/resolve/main/pytorch_model.bin
1.08 GB
- Xet hash:
- 2f9443f30f43193cd2421c19df62029f11a3ebfbd767e7e515c93d768bde17f7
- Size of remote file:
- 1.08 GB
- SHA256:
- a43fc134c933210e49752f9510f875860b745f022ebf0d0ab7d1e90b0d3783fe
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.