Instructions to use Vlasta/DNADebertaSentencepiece10k_continuation_continuation_continuation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vlasta/DNADebertaSentencepiece10k_continuation_continuation_continuation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Vlasta/DNADebertaSentencepiece10k_continuation_continuation_continuation")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Vlasta/DNADebertaSentencepiece10k_continuation_continuation_continuation") model = AutoModelForMaskedLM.from_pretrained("Vlasta/DNADebertaSentencepiece10k_continuation_continuation_continuation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ca4e36a8ba3ceed3bca6d86a0a2fede764fa7f8e66d7b61ee6054a1cef6d29f
- Size of remote file:
- 3.38 kB
- SHA256:
- 89105fb54998ff53998314b61d0d1ea33271d1750656f63975a244286d963c74
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