Instructions to use multimolecule/deepcpgdna-hou2016-hepg2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/deepcpgdna-hou2016-hepg2 with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/deepcpgdna-hou2016-hepg2") model = AutoModel.from_pretrained("multimolecule/deepcpgdna-hou2016-hepg2") inputs = tokenizer("ACTCCCCTGCCCTCAACAAGATGTTTTGCCAACTGGCCAAGACCTGCCCTGTGCAGCTGTGGGTTGATTCCACACCCCCGCCCGGCACCCGCGTCCGCGCCATGGCCATCTACAAGCAGTCACAGCACATGACGGAGGTTGTGAGGCGCTGCCCCCACCATGAGCGCTGCTCAGATAGCGATGG", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_state - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc461fcdf4105c54b61d586c7112198cef14b2e73e7e0b1df5a80da89461de6b
- Size of remote file:
- 17.7 MB
- SHA256:
- 87cbd6770ed1b6d1e6e95b2f624d78da1fccd7d5e92692e6cb3b9acf8e04a93e
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