Instructions to use souging/bece4e2a-1acf-4d5f-9255-9dc0500ce188 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use souging/bece4e2a-1acf-4d5f-9255-9dc0500ce188 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-360M-Instruct") model = PeftModel.from_pretrained(base_model, "souging/bece4e2a-1acf-4d5f-9255-9dc0500ce188") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78a9284b7da6aca12bfb4e619308e6800aee136b4045ea8bc5aaacfa271104ff
- Size of remote file:
- 69.5 MB
- SHA256:
- 7ea7629762bad517f130bc635b81e58dc6cba25e02524216f09b758ccf5691f4
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