Instructions to use antimage88/cbf08f8f-898f-4662-b14a-08391f3764a3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use antimage88/cbf08f8f-898f-4662-b14a-08391f3764a3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-135M-Instruct") model = PeftModel.from_pretrained(base_model, "antimage88/cbf08f8f-898f-4662-b14a-08391f3764a3") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from antimage88/cbf08f8f-898f-4662-b14a-08391f3764a3: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/antimage88/cbf08f8f-898f-4662-b14a-08391f3764a3/resolve/main/training_args.bin
- Command line
-
hf download hf://antimage88/cbf08f8f-898f-4662-b14a-08391f3764a3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/antimage88/cbf08f8f-898f-4662-b14a-08391f3764a3/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 2af1c4c8884f27ee0ccf2d47ea4ac2c031b589916ed9f1bb314f14c5fc8f8caf
- Size of remote file:
- 6.84 kB
- SHA256:
- 1d131e4096558afd2a88254291f989c541128bdaf105e8e77191023a274dd1c6
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