Instructions to use antimage88/174414bc-34ca-44ea-88fa-977030aa2515 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use antimage88/174414bc-34ca-44ea-88fa-977030aa2515 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-1.3b") model = PeftModel.from_pretrained(base_model, "antimage88/174414bc-34ca-44ea-88fa-977030aa2515") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from antimage88/174414bc-34ca-44ea-88fa-977030aa2515: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/antimage88/174414bc-34ca-44ea-88fa-977030aa2515/resolve/main/training_args.bin
- Command line
-
hf download hf://antimage88/174414bc-34ca-44ea-88fa-977030aa2515/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/antimage88/174414bc-34ca-44ea-88fa-977030aa2515/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 70ac307f95dd7e6031410609fa125cae7acba9e5b196b3f15553236c14822a53
- Size of remote file:
- 6.78 kB
- SHA256:
- b50546b28e6ae2304a135bbed4d32e6dedcc466f7cab89650ce73b3554b5e478
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