Instructions to use simecek/DNADebertaK7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simecek/DNADebertaK7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simecek/DNADebertaK7b")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simecek/DNADebertaK7b") model = AutoModelForMaskedLM.from_pretrained("simecek/DNADebertaK7b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcc8ee678204cac357cc21022a7d26fa71475b7e376bf97ac8f6282a29a06dd5
- Size of remote file:
- 3.18 kB
- SHA256:
- 0e7b341570843f1ae1db8b3da845a8ea7129dde1220fca779f67e51776144265
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