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:
- 9b1a68c646d585be0640cf435d91d95bb329d1f6213b72a34f8004a5d8688012
- Size of remote file:
- 187 MB
- SHA256:
- 066fb5ab455a08222b087429913a3bb86449e9c001f295b27a7772fbb35029ac
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.