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:
- f898db974d4bbab5b1c32e6eaee6a5a1c8087f7c58cf765c80aba20fc40a8717
- Size of remote file:
- 6.78 kB
- SHA256:
- 3eedbb9103e84060cf407aa578a2339fcf9d5c99e84c40bc2878b2858f2568c3
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