Instructions to use mrHunghddddd/32eea267-a558-48bd-bcd9-e0262f6707c8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrHunghddddd/32eea267-a558-48bd-bcd9-e0262f6707c8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-14B-Instruct") model = PeftModel.from_pretrained(base_model, "mrHunghddddd/32eea267-a558-48bd-bcd9-e0262f6707c8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ba004d3bf61f4b7f3212e93a4efa0ecc0cd2a0e35132809960065162dcf2fc1
- Size of remote file:
- 138 MB
- SHA256:
- aebd4b060596d83c48bdc7bc3893606e9574c45077fd74692229360dde101913
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