Instructions to use antimage88/542f177e-1f43-4269-ba0f-4e5344e5b794 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use antimage88/542f177e-1f43-4269-ba0f-4e5344e5b794 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("echarlaix/tiny-random-mistral") model = PeftModel.from_pretrained(base_model, "antimage88/542f177e-1f43-4269-ba0f-4e5344e5b794") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from antimage88/542f177e-1f43-4269-ba0f-4e5344e5b794: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/antimage88/542f177e-1f43-4269-ba0f-4e5344e5b794/resolve/main/training_args.bin
- Command line
-
hf download hf://antimage88/542f177e-1f43-4269-ba0f-4e5344e5b794/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/antimage88/542f177e-1f43-4269-ba0f-4e5344e5b794/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 283d63c3c0da83bfb3cb562a4a014c2fc247f138e1b6ed57901436229e2d7881
- Size of remote file:
- 6.84 kB
- SHA256:
- 820e69442d495fb1114f2eedef54692db026a7560dd0e3ca5969e4d7bbe0f771
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