Instructions to use hongngo/85213d91-deea-4785-9a28-b93d86f01d4c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hongngo/85213d91-deea-4785-9a28-b93d86f01d4c 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, "hongngo/85213d91-deea-4785-9a28-b93d86f01d4c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9da670909e8c609584672959cee344652893d543813dadb62592f92e81fc0177
- Size of remote file:
- 6.78 kB
- SHA256:
- e179905b38321f94b858d2b62a52a6d11c575e83641bd7316fd4d2bc904694d0
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