Instructions to use thangla01/37d872a4-e714-4308-8684-978ab50ee3df with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thangla01/37d872a4-e714-4308-8684-978ab50ee3df with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-0.5B") model = PeftModel.from_pretrained(base_model, "thangla01/37d872a4-e714-4308-8684-978ab50ee3df") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a995889132b3c1deea5774948eb74b3f867d7106ecfdfddebc69e18d98c7a999
- Size of remote file:
- 6.78 kB
- SHA256:
- 749640e0a927d2beb5a683a5fd5b97d303d9d6dfbb355997571359667e216b69
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