Instructions to use duyphu/8d1d62ef-b479-e4b6-f0f5-47e0c628a5fc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use duyphu/8d1d62ef-b479-e4b6-f0f5-47e0c628a5fc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "duyphu/8d1d62ef-b479-e4b6-f0f5-47e0c628a5fc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88da6550c37494cb072312f994bc5a575f443e53d1daf4ea0fb367a3cee9852d
- Size of remote file:
- 6.78 kB
- SHA256:
- f49980f88c3bd8c786d488363e0af81b86eef365210e5b3c02e67deab238c6cb
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