Instructions to use multimolecule/ribonanzanet-drop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/ribonanzanet-drop with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/ribonanzanet-drop") model = AutoModel.from_pretrained("multimolecule/ribonanzanet-drop") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from multimolecule/ribonanzanet-drop: direct link, hf CLI and curl.
- Browser
- Download file 45.4 MB
-
https://huggingface.co/multimolecule/ribonanzanet-drop/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://multimolecule/ribonanzanet-drop/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/multimolecule/ribonanzanet-drop/resolve/main/pytorch_model.bin
45.4 MB
- Xet hash:
- 3f1756cbf7c2c3457fa80782adcaf971dfb528bbef051d7e82279355f18904b0
- Size of remote file:
- 45.4 MB
- SHA256:
- 4ad67c9c2d347f19f8d045fc77644a32e01042a3fdd9914f5fef5c12f34945d1
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