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:
- dd24de09f504535109d0443599689e35410dbd02c2416f4d3123358161b5cba5
- Size of remote file:
- 187 MB
- SHA256:
- bce54f6096876e10ed2e346de368a29ea236df290aa0c3b10cc1531052015a76
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