Instructions to use Paladiso/56e46106-55ee-42fc-b514-64b2448c7b69 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/56e46106-55ee-42fc-b514-64b2448c7b69 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "Paladiso/56e46106-55ee-42fc-b514-64b2448c7b69") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Paladiso/56e46106-55ee-42fc-b514-64b2448c7b69: direct link, hf CLI and curl.
- Browser
- Download file 6.9 kB
-
https://huggingface.co/Paladiso/56e46106-55ee-42fc-b514-64b2448c7b69/resolve/main/training_args.bin
- Command line
-
hf download hf://Paladiso/56e46106-55ee-42fc-b514-64b2448c7b69/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Paladiso/56e46106-55ee-42fc-b514-64b2448c7b69/resolve/main/training_args.bin
6.9 kB
- Xet hash:
- 6cb933e081b9ca362ef7b9a47bf5c2e3ca66032ac45fd29bbc08547205b9590b
- Size of remote file:
- 6.9 kB
- SHA256:
- c0b4087417236dad7ff705004865a18c323851219802cabd1c275767a4dcca5c
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