Instructions to use nhoxinh/6bacd06c-e0f3-4431-be9a-e7a773483afa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhoxinh/6bacd06c-e0f3-4431-be9a-e7a773483afa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "nhoxinh/6bacd06c-e0f3-4431-be9a-e7a773483afa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be4ad435fb7dab1c81adcd449add35ca566dfaba52387f506ce694f44aa28ca0
- Size of remote file:
- 6.78 kB
- SHA256:
- 988e14e43eb9a20d6c5cb2f3f71899393d0161cb2d047f8a7edea960f39b4e84
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