Instructions to use nhungphammmmm/1c5a9f83-0602-4277-b6b7-c92e30634720 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/1c5a9f83-0602-4277-b6b7-c92e30634720 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/1c5a9f83-0602-4277-b6b7-c92e30634720") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be203ee44bdc1b956d7eb3be2c913a61e253a199fc7ce4e749e2959387ce005f
- Size of remote file:
- 6.78 kB
- SHA256:
- 60fe8c0482f0765c8947a6a7c1730ebe47e7cf6bc379f2d49612602d34f9afeb
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