Instructions to use nblinh63/81bc4e8f-ba25-4658-b1b6-b56998a2aa14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nblinh63/81bc4e8f-ba25-4658-b1b6-b56998a2aa14 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("zake7749/gemma-2-2b-it-chinese-kyara-dpo") model = PeftModel.from_pretrained(base_model, "nblinh63/81bc4e8f-ba25-4658-b1b6-b56998a2aa14") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nblinh63/81bc4e8f-ba25-4658-b1b6-b56998a2aa14: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/nblinh63/81bc4e8f-ba25-4658-b1b6-b56998a2aa14/resolve/main/training_args.bin
- Command line
-
hf download hf://nblinh63/81bc4e8f-ba25-4658-b1b6-b56998a2aa14/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nblinh63/81bc4e8f-ba25-4658-b1b6-b56998a2aa14/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 412a5a06300eaff8b9b463783c7217c44fdefd5bcb000882ae24d72ad167e253
- Size of remote file:
- 6.78 kB
- SHA256:
- d1de10950780e515ba355aae6737262b84b7f1a4bf39e9dd5389d07607ea4318
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