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:
- 317ae8e7e433f2e2747b6c8d44d2839bede426b0756bfd19228971dee765e05d
- Size of remote file:
- 1.06 kB
- SHA256:
- 5607f6de446164d9d9adb8b91c44cec55b14aa391e24ba5637c08b834eedda2a
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