Instructions to use multimolecule/dnaberts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/dnaberts with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/dnaberts") model = AutoModel.from_pretrained("multimolecule/dnaberts") inputs = tokenizer("ACTCCCCTGCCCTCAACAAGATGTTTTGCCAACTGGCCAAGACCTGCCCTGTGCAGCTGTGGGTTGATTCCACACCCCCGCCCGGCACCCGCGTCCGCGCCATGGCCATCTACAAGCAGTCACAGCACATGACGGAGGTTGTGAGGCGCTGCCCCCACCATGAGCGCTGCTCAGATAGCGATGG", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_state - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from multimolecule/dnaberts: direct link, hf CLI and curl.
- Browser
- Download file 468 MB
-
https://huggingface.co/multimolecule/dnaberts/resolve/main/model.safetensors
- Command line
-
hf download hf://multimolecule/dnaberts/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/multimolecule/dnaberts/resolve/main/model.safetensors
468 MB
- Xet hash:
- 0b0e23e5a97390677446325f6f73ad722b92dea11ce61936ff8c380c2cce993d
- Size of remote file:
- 468 MB
- SHA256:
- 8d9c823fddf2aed87b60350084c8c277949f5aa30b1d16ee6ccf44034f7264ae
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