Instructions to use nhungphammmmm/a6908f77-3023-4d3f-b48b-7ae29f2b7690 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/a6908f77-3023-4d3f-b48b-7ae29f2b7690 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-1.7B-Instruct") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/a6908f77-3023-4d3f-b48b-7ae29f2b7690") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e184d726c69ea1e5504b90ee3e5af4c28e5d66969f4a3841cc51c92cee53a43
- Size of remote file:
- 36.3 MB
- SHA256:
- f4f3bfd4bed7eac566621298a6b13f4cd292301baee564df68638981e8b5508c
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