Instructions to use Drew-ch/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Drew-ch/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("taide/Llama3-TAIDE-LX-8B-Chat-Alpha1") model = PeftModel.from_pretrained(base_model, "Drew-ch/results") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Drew-ch/results: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Drew-ch/results/resolve/main/training_args.bin
- Command line
-
hf download hf://Drew-ch/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Drew-ch/results/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- acd78ed21c7241ad1f4b82647c8a24781747eaa3e04e031688d49fc3647230ce
- Size of remote file:
- 5.3 kB
- SHA256:
- 5932f9621d4401df14ba7fc7dd9d904142b667f0a0a3961ec7ef08701f31007c
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