Instructions to use simecek/ZebrafishDNADeberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simecek/ZebrafishDNADeberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simecek/ZebrafishDNADeberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simecek/ZebrafishDNADeberta") model = AutoModelForMaskedLM.from_pretrained("simecek/ZebrafishDNADeberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56a46d0054291d29259fc042614fb3af3f60df2b507739a51c601cbca39fb97b
- Size of remote file:
- 3.25 kB
- SHA256:
- 2799856c13f419d8061c708768b4ed8db7e261e33c58167058afe969a2f064fb
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