Instructions to use Paladiso/a715a7a5-6dbc-4c64-bfbc-e498147e0f70 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/a715a7a5-6dbc-4c64-bfbc-e498147e0f70 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/a715a7a5-6dbc-4c64-bfbc-e498147e0f70") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84e061f434c79fdd0923b32d4e4210fa91e408f17f21e3eb9944c952aafb05b0
- Size of remote file:
- 6.9 kB
- SHA256:
- 3b1a41ec99ce03d21893a95c2de6ad3ca2f458f9212dcc663f4441d1923793e2
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