Instructions to use baebee/guanaco3b-testv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baebee/guanaco3b-testv2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Fredithefish/Guanaco-3B-Uncensored-v2") model = PeftModel.from_pretrained(base_model, "baebee/guanaco3b-testv2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28c1aaa66f05f3c9f41e5302dc8da10dcf343b9876054182fe5db81adf1872d0
- Size of remote file:
- 83.9 MB
- SHA256:
- e19c38114ac2bf579d227ed4116c0e90ae5ca8b06de3b86d46362c509a028bc4
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