Instructions to use nhung03/72bb05bf-8737-4afc-b7ef-ea6d6a4790f9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung03/72bb05bf-8737-4afc-b7ef-ea6d6a4790f9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-135M-Instruct") model = PeftModel.from_pretrained(base_model, "nhung03/72bb05bf-8737-4afc-b7ef-ea6d6a4790f9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ddf37798703f961d63421f575b4eb4691e8ad6f9f5d3a19ff8e1589ef847699
- Size of remote file:
- 9.92 MB
- SHA256:
- 36f0a6fec168a26a2fcc82d819e8eeb5c2f8d84608580cabbfa8704a54f074af
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