Instructions to use simecek/DNADebertaSmall with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simecek/DNADebertaSmall with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simecek/DNADebertaSmall")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simecek/DNADebertaSmall") model = AutoModelForMaskedLM.from_pretrained("simecek/DNADebertaSmall", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from simecek/DNADebertaSmall: direct link, hf CLI and curl.
- Browser
- Download file 3.25 kB
-
https://huggingface.co/simecek/DNADebertaSmall/resolve/main/training_args.bin
- Command line
-
hf download hf://simecek/DNADebertaSmall/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/simecek/DNADebertaSmall/resolve/main/training_args.bin
3.25 kB
- Xet hash:
- c47ac9812f263766f4e64016990d3f2b548f6ae8cd4628b5c48ef464a39492f5
- Size of remote file:
- 3.25 kB
- SHA256:
- 89b427f1148333c12409f286d14285b303cb4d948417cc7a478b389ebec077e4
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