Instructions to use ljcamargo/akkadian_pretrain_steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ljcamargo/akkadian_pretrain_steps with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ljcamargo/akkadian_pretrain_steps", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from ljcamargo/akkadian_pretrain_steps: direct link, hf CLI and curl.
- Browser
- Download file 6.35 kB
-
https://huggingface.co/ljcamargo/akkadian_pretrain_steps/resolve/main/training_args.bin
- Command line
-
hf download hf://ljcamargo/akkadian_pretrain_steps/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ljcamargo/akkadian_pretrain_steps/resolve/main/training_args.bin
6.35 kB
- Xet hash:
- 90422d9875149fd8ed7c0fa7cfab44a3daedd7c52d164fd0d568b17dfdcf01b6
- Size of remote file:
- 6.35 kB
- SHA256:
- 359bf783e71d558e864aa0a926fa5a0083563e5a1e47848414c3109813d44b00
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