Instructions to use AuraRuby/ARIA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AuraRuby/ARIA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AuraRuby/ARIA")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AuraRuby/ARIA") model = AutoModelForMaskedLM.from_pretrained("AuraRuby/ARIA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AuraRuby/ARIA: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/AuraRuby/ARIA/resolve/main/training_args.bin
- Command line
-
hf download hf://AuraRuby/ARIA/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AuraRuby/ARIA/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- c7ca652f5a5f4a29646d6be67e8bd131032b6906dda6316e86f9b7568202737b
- Size of remote file:
- 4.66 kB
- SHA256:
- 5e036761a52f2319fdce80d5565c2c7742ea08a9f8803f5cd3bbdf2f6c1e0a38
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