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:
- f0ce8066252d9366033f895f94fccec085abe5061893b42f9089d1cd9e78ba45
- Size of remote file:
- 237 MB
- SHA256:
- 283d28384b2cbf7cd2ce34676616b9be3762aaf8ac9e893d924b35579483c863
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