Instructions to use 0x1202/ad04e588-d36c-4fd5-ad55-e0ee695fd4c5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0x1202/ad04e588-d36c-4fd5-ad55-e0ee695fd4c5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "0x1202/ad04e588-d36c-4fd5-ad55-e0ee695fd4c5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff6344a5fd64e29559f291a5714c35daacd069e70f15ba1cc4b775d14472680a
- Size of remote file:
- 14.2 kB
- SHA256:
- 7760fc32e7ef07dd438f7d925e87318d8bcd1a93206b1780d9244edea80c4d6f
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