Instructions to use nhung02/67256797-fd7c-4eda-8297-d5e038b350ea with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung02/67256797-fd7c-4eda-8297-d5e038b350ea with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Theta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "nhung02/67256797-fd7c-4eda-8297-d5e038b350ea") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc2692dd86682b9b03c5adb32e83b92c7b17308367d416d0cba2b8100a25a6f9
- Size of remote file:
- 2.19 GB
- SHA256:
- f527e89b5e6e4648d3fe379828bb4d9c6474f714de6ed4d4218a490664fc3855
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