Instructions to use apple9855/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apple9855/output with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, TrainableDT tokenizer = AutoTokenizer.from_pretrained("apple9855/output") model = TrainableDT.from_pretrained("apple9855/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from apple9855/output: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/apple9855/output/resolve/main/training_args.bin
- Command line
-
hf download hf://apple9855/output/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/apple9855/output/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 9117e9355ed640fdf6b3de385c2175d8975ed6a9c26acf332ef38f13f2a4e8b8
- Size of remote file:
- 5.18 kB
- SHA256:
- 9883a90c0cbcb0482da6489ecbc14afcd211c07da72129fc4e01a8db0d5a7a9e
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