Instructions to use nhung01/22233e8c-7222-4eb4-b87f-f025dbaf7aff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung01/22233e8c-7222-4eb4-b87f-f025dbaf7aff with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "nhung01/22233e8c-7222-4eb4-b87f-f025dbaf7aff") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e61f024e562bb6b975459912cb2390a6857e8d140653f625d0dc9c5eb9e7655f
- Size of remote file:
- 80.9 MB
- SHA256:
- e43922e310db24ad81a93f6345b2c11a76da2b510eb329dacbd14b0fc531b9f6
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