Instructions to use vermoney/581a182e-8e0f-4e40-a116-4ae667a9d44d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vermoney/581a182e-8e0f-4e40-a116-4ae667a9d44d 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/581a182e-8e0f-4e40-a116-4ae667a9d44d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5cac398f249fb7540d2ea5df455e4048e8ba516ca6667449a3d9f5f772919b4e
- Size of remote file:
- 336 MB
- SHA256:
- 0378cd62212958048e923bc3ec60a1ad1e6005a1f618881fe661451f5c58f07b
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