Instructions to use Vlasta/DNADebertaSentencepiece10k_continuation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vlasta/DNADebertaSentencepiece10k_continuation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Vlasta/DNADebertaSentencepiece10k_continuation")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Vlasta/DNADebertaSentencepiece10k_continuation") model = AutoModelForMaskedLM.from_pretrained("Vlasta/DNADebertaSentencepiece10k_continuation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 150000
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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