Instructions to use muralcode/Oracle.Aritha.AM-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muralcode/Oracle.Aritha.AM-1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("muralcode/Oracle.Aritha.AM-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from muralcode/Oracle.Aritha.AM-1: direct link, hf CLI and curl.
- Browser
- Download file 6.23 kB
-
https://huggingface.co/muralcode/Oracle.Aritha.AM-1/resolve/main/training_args.bin
- Command line
-
hf download hf://muralcode/Oracle.Aritha.AM-1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/muralcode/Oracle.Aritha.AM-1/resolve/main/training_args.bin
6.23 kB
- Xet hash:
- 2bb0b8d126cdc819225c4f8174addebc0be59b127459434cf5823f91458db7dd
- Size of remote file:
- 6.23 kB
- SHA256:
- b96fb792ca0ab56852b7731173df06e5de7edac4f973104e9963d9b0b1160cfc
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