Instructions to use chauhoang/085e7131-5a9c-40d0-84fc-cbc9630be308 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/085e7131-5a9c-40d0-84fc-cbc9630be308 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct") model = PeftModel.from_pretrained(base_model, "chauhoang/085e7131-5a9c-40d0-84fc-cbc9630be308") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from chauhoang/085e7131-5a9c-40d0-84fc-cbc9630be308: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/chauhoang/085e7131-5a9c-40d0-84fc-cbc9630be308/resolve/main/training_args.bin
- Command line
-
hf download hf://chauhoang/085e7131-5a9c-40d0-84fc-cbc9630be308/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/chauhoang/085e7131-5a9c-40d0-84fc-cbc9630be308/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 9767a895f029bbdccd4399766e7acfc74cc84954cb6bd7e4630064d0029c8e8e
- Size of remote file:
- 6.78 kB
- SHA256:
- 6fafa980b9463ab72b6c994dc98bf4080d93271604efa09104c591944175e851
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