Instructions to use simecek/DNADebertaK6_Zebrafish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simecek/DNADebertaK6_Zebrafish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simecek/DNADebertaK6_Zebrafish")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simecek/DNADebertaK6_Zebrafish") model = AutoModelForMaskedLM.from_pretrained("simecek/DNADebertaK6_Zebrafish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1163e1daf5571b048736d8515bd6b4c58f49e0243b319f243d85918f42b056a7
- Size of remote file:
- 3.25 kB
- SHA256:
- 6f6ed68362e1f7484e1fcc0e2f91354ed703252a7ddac62bf798c4596d4b58e2
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