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 training_args.bin from simecek/HumanRedoneDNADeberta: direct link, hf CLI and curl.
- Browser
- Download file 3.25 kB
-
https://huggingface.co/simecek/HumanRedoneDNADeberta/resolve/main/training_args.bin
- Command line
-
hf download hf://simecek/HumanRedoneDNADeberta/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/simecek/HumanRedoneDNADeberta/resolve/main/training_args.bin
3.25 kB
- Xet hash:
- 7ee281376640c4b361b2e1b4b2be15a16bcf1d8610e27b266cabb94414193a2c
- Size of remote file:
- 3.25 kB
- SHA256:
- 85009f79a4545fd14c0527666aeff493fe4d6db5d7060742588115d412e95a8d
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