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:
- 15b323d92d3b54f1bee91a2d1f4d0d127b620c5046e4126c861ecc90e3518df6
- Size of remote file:
- 16.4 MB
- SHA256:
- 5afc3407a40ed100da18b4a0dc82d86cc288e6d6321642f9bcb0cc0ad3774027
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