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:
- b93340c4ccb3942728c4680b516fd82e99ddf80844feb15c8d0656349c103b9e
- Size of remote file:
- 336 MB
- SHA256:
- 594a288410a7f96e17c9283957dc73722687aab5eb1dd8f632d4ff81030b3477
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