Instructions to use simecek/DNADebertaK6c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simecek/DNADebertaK6c with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simecek/DNADebertaK6c")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simecek/DNADebertaK6c") model = AutoModelForMaskedLM.from_pretrained("simecek/DNADebertaK6c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b25db7116e9eecdcd33fd0be5b36ceea79bf1b72785ea9a96eff292f208f89b7
- Size of remote file:
- 187 MB
- SHA256:
- 4480ff445358a1c561ddc472057fa07840a60161f359c58b9ee6f87580665a20
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