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 pytorch_model.bin from simecek/MouseDNADeberta: direct link, hf CLI and curl.
- Browser
- Download file 187 MB
-
https://huggingface.co/simecek/MouseDNADeberta/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://simecek/MouseDNADeberta/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/simecek/MouseDNADeberta/resolve/main/pytorch_model.bin
187 MB
- Xet hash:
- dabaab17ab202881d3c31a3786251257cd3248aa66d04e4bfd4b793a3bf3b0eb
- Size of remote file:
- 187 MB
- SHA256:
- 78d0c4cae99d5de7772d2c70c0c7004f52fa4d3cad4c8b169e1825cc53f24d9e
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