Instructions to use vermoney/797aaeea-7edf-4b80-8290-ff488713444d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vermoney/797aaeea-7edf-4b80-8290-ff488713444d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "vermoney/797aaeea-7edf-4b80-8290-ff488713444d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 318764107b83146c7e742dead2140ce344fef0fa87a24237ecee2af7dc50323c
- Size of remote file:
- 6.78 kB
- SHA256:
- 13b8b5fc1e9f5b2c7f51c17a79ceeecae3988149b583bd820c913cadd69d2495
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