Instructions to use simecek/DNADebertaK6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simecek/DNADebertaK6b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simecek/DNADebertaK6b")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simecek/DNADebertaK6b") model = AutoModelForMaskedLM.from_pretrained("simecek/DNADebertaK6b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c158e6555514cf36e51ee52b4becdd8b8aa3e0dcda1b62ebf113d216a728c8a
- Size of remote file:
- 187 MB
- SHA256:
- 580a05d82a339e6ad933a41fe55dffa37e5d640a88f207f60de4bd4e2816e609
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