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:
- 4168677c9b970a419226838f7a5cf8b6f64180a1adb3699648971af0626dde6a
- Size of remote file:
- 3.39 kB
- SHA256:
- 8878fe9bf31687870d756f26a666e3d29a3a57d7c47e5975148e70ecaf0fc686
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