Instructions to use kmin06/lora_32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kmin06/lora_32 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kmin06/lora_32", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kmin06/lora_32: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/kmin06/lora_32/resolve/main/training_args.bin
- Command line
-
hf download hf://kmin06/lora_32/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kmin06/lora_32/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 55302fac9dd74e51df4f193c3ee9b003c3f909c30fae83b4a8c283e6b52f0db5
- Size of remote file:
- 6.78 kB
- SHA256:
- 3abc5645c9bc07efea0b495599b67a4d39176134aae6f438629053f46a947328
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