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:
- ca455c2c0ec1b2caea2aa15022db9467d02db2172464bcb1da0d536a0442a78b
- Size of remote file:
- 17.7 MB
- SHA256:
- 70763e543743e813bddc6d9840350ad3e0898b502e7e9865181ac9b431481655
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.