Instructions to use 1-lock/1066784b-c190-4088-9e1e-7e094cac1703 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/1066784b-c190-4088-9e1e-7e094cac1703 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, "1-lock/1066784b-c190-4088-9e1e-7e094cac1703") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 168655e0a0372609bad3045e7480b68e031a021797ede8eeb23726d2d7eb9953
- Size of remote file:
- 15 kB
- SHA256:
- ca8bf645ce6a95c97a3f89254193dc7bf1940f1525a365e879da119b46278092
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