Instructions to use simecek/MouseDNADeberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simecek/MouseDNADeberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simecek/MouseDNADeberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simecek/MouseDNADeberta") model = AutoModelForMaskedLM.from_pretrained("simecek/MouseDNADeberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from simecek/MouseDNADeberta: direct link, hf CLI and curl.
- Browser
- Download file 3.25 kB
-
https://huggingface.co/simecek/MouseDNADeberta/resolve/main/training_args.bin
- Command line
-
hf download hf://simecek/MouseDNADeberta/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/simecek/MouseDNADeberta/resolve/main/training_args.bin
3.25 kB
- Xet hash:
- 554804ad6e0cc028ff262df259569ea3a6c45f6124b75e020e8ce9778aebacf8
- Size of remote file:
- 3.25 kB
- SHA256:
- b730412f373c7623aec68398837090ff7c786b06f281a9888be9c0527649096c
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