Instructions to use simecek/FruitflyDNADeberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simecek/FruitflyDNADeberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simecek/FruitflyDNADeberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simecek/FruitflyDNADeberta") model = AutoModelForMaskedLM.from_pretrained("simecek/FruitflyDNADeberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6014f807b9e0e1bb41e335538794883575157e5759c5bf9e256fcff59ae3c900
- Size of remote file:
- 187 MB
- SHA256:
- adb34649814122c5ae5d7c486f1dd604cf08f1a7fd74d9c292072264addfdd9f
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