Instructions to use marialvsantiago/06b8d408-87cc-42e4-9ddf-ec6196eec56d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use marialvsantiago/06b8d408-87cc-42e4-9ddf-ec6196eec56d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-14B-Instruct") model = PeftModel.from_pretrained(base_model, "marialvsantiago/06b8d408-87cc-42e4-9ddf-ec6196eec56d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a3fbd75fbd1b288bc4ef4cfb4cd8b71aa5554aad35e34568f07506bcdfc21a3
- Size of remote file:
- 6.84 kB
- SHA256:
- c560dbb489e9e98e5e9e138cbbc18ca8679cb5c5a76e853f246a5788b05ba585
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