Instructions to use chauhoang/3c77d416-4727-4166-82e3-fc3d49d5eaa1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/3c77d416-4727-4166-82e3-fc3d49d5eaa1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama-chat") model = PeftModel.from_pretrained(base_model, "chauhoang/3c77d416-4727-4166-82e3-fc3d49d5eaa1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc086d83cf71add9a3f6145adba32e5c536d0d07b488508ef1cf850ab379554e
- Size of remote file:
- 6.78 kB
- SHA256:
- ca6e72eeaa4253f7eb75420f16f991d6c58ba2813a51d4049ef3f02892eda852
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