Instructions to use mrlowkey/test_wizardvincuna with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrlowkey/test_wizardvincuna with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ehartford/WizardLM-7B-Uncensored") model = PeftModel.from_pretrained(base_model, "mrlowkey/test_wizardvincuna") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a1f9bc85993f2c66ecb2d1c70a3b06ca8479b771dbf74796318609b31b80ecc
- Size of remote file:
- 33.6 MB
- SHA256:
- 9a2f4866e38e19a6995b386ec39d3057238da9b7ff08f0e1ef489e603dee9a01
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