Instructions to use simecek/DNADeberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simecek/DNADeberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simecek/DNADeberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simecek/DNADeberta") model = AutoModelForMaskedLM.from_pretrained("simecek/DNADeberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from simecek/DNADeberta: direct link, hf CLI and curl.
- Browser
- Download file 357 MB
-
https://huggingface.co/simecek/DNADeberta/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://simecek/DNADeberta/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/simecek/DNADeberta/resolve/main/pytorch_model.bin
357 MB
- Xet hash:
- b50fa515e313275fbc851c425f2707f64a0c8a6af07b40a496483e1becc44e1d
- Size of remote file:
- 357 MB
- SHA256:
- c891308d38ba8b9906b7f6708ea66a9ad3c1aa9db8041d4e647435c32cebf91a
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