Instructions to use multimolecule/deepcpgdna-hou2016-mesc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/deepcpgdna-hou2016-mesc with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/deepcpgdna-hou2016-mesc") model = AutoModel.from_pretrained("multimolecule/deepcpgdna-hou2016-mesc") inputs = tokenizer("ACTCCCCTGCCCTCAACAAGATGTTTTGCCAACTGGCCAAGACCTGCCCTGTGCAGCTGTGGGTTGATTCCACACCCCCGCCCGGCACCCGCGTCCGCGCCATGGCCATCTACAAGCAGTCACAGCACATGACGGAGGTTGTGAGGCGCTGCCCCCACCATGAGCGCTGCTCAGATAGCGATGG", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_state - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6aee187da7f1a59b6a6df84e5702f929bbfec7d6ebec70cb0bdeafb20a57a6a
- Size of remote file:
- 16.4 MB
- SHA256:
- 7c9fec24dd2afede1e598054175929395576bf056b5741b26887d63a48cc10fe
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