Instructions to use simecek/HumanRedoneDNADeberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simecek/HumanRedoneDNADeberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simecek/HumanRedoneDNADeberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simecek/HumanRedoneDNADeberta") model = AutoModelForMaskedLM.from_pretrained("simecek/HumanRedoneDNADeberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from simecek/HumanRedoneDNADeberta: direct link, hf CLI and curl.
- Browser
- Download file 187 MB
-
https://huggingface.co/simecek/HumanRedoneDNADeberta/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://simecek/HumanRedoneDNADeberta/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/simecek/HumanRedoneDNADeberta/resolve/main/pytorch_model.bin
187 MB
- Xet hash:
- ee7116442808073fa2c90483c8aea04d552bb6c59647b751aa2bfeb1da3df54d
- Size of remote file:
- 187 MB
- SHA256:
- 02db72735e26703dd5ec91e6ae34081ee12a3d39cf2a150986aa94051477f569
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