Instructions to use Vlasta/DNADebertaK7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vlasta/DNADebertaK7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Vlasta/DNADebertaK7")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Vlasta/DNADebertaK7") model = AutoModelForMaskedLM.from_pretrained("Vlasta/DNADebertaK7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 747d013e9dd2224d19567742fc7a55a4c29947697df2a083cde466402aad36ee
- Size of remote file:
- 3.25 kB
- SHA256:
- 570aef5305abb53edf6a91a2231e9cefe659ad73dd7382b6ab722833fee1a88f
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