Instructions to use Paladiso/8ccdbc24-1387-4605-99fc-ca461a35399b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/8ccdbc24-1387-4605-99fc-ca461a35399b 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, "Paladiso/8ccdbc24-1387-4605-99fc-ca461a35399b") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Paladiso/8ccdbc24-1387-4605-99fc-ca461a35399b: direct link, hf CLI and curl.
- Browser
- Download file 6.9 kB
-
https://huggingface.co/Paladiso/8ccdbc24-1387-4605-99fc-ca461a35399b/resolve/main/training_args.bin
- Command line
-
hf download hf://Paladiso/8ccdbc24-1387-4605-99fc-ca461a35399b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Paladiso/8ccdbc24-1387-4605-99fc-ca461a35399b/resolve/main/training_args.bin
6.9 kB
- Xet hash:
- 797a5efa49618087394b7d8bfe7938269e522324b2ffb97670220cc058bda93d
- Size of remote file:
- 6.9 kB
- SHA256:
- 3378dcb5006ef7993e62a6ffd610c41225728f774a1943f8cd981537a4da5faf
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