Instructions to use simecek/DNADeberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simecek/DNADeberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simecek/DNADeberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simecek/DNADeberta") model = AutoModelForMaskedLM.from_pretrained("simecek/DNADeberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from simecek/DNADeberta: direct link, hf CLI and curl.
- Browser
- Download file 3.18 kB
-
https://huggingface.co/simecek/DNADeberta/resolve/main/training_args.bin
- Command line
-
hf download hf://simecek/DNADeberta/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/simecek/DNADeberta/resolve/main/training_args.bin
3.18 kB
- Xet hash:
- 4c6cd49d7bd7342ec8c0113d0d7c6b24c12edf6da8bf11b0b6d924f6bf55c742
- Size of remote file:
- 3.18 kB
- SHA256:
- 2403953dfcfad00c982c7dc202a7b8c7eff25aeff8ddd64b063e9a32267d728b
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