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:
- 0d4b90e94af5da51451e9ec6b98f812f7ec9a2388dd7bbf617f7051f858fe6eb
- Size of remote file:
- 2.44 GB
- SHA256:
- 870d3a9cc274c3be986175e5de965d116a820e57d346e015fcc3aa75c468b9e0
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