Instructions to use baebee/guanaco-testv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baebee/guanaco-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/guanaco-testv2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64e8f30a5cae1d524e343f01d513ca81326512322b71a079f1b7897eb355c4de
- Size of remote file:
- 83.9 MB
- SHA256:
- 90a03021be36b57e769365c84eec468200d4c51e6fbb19e2e02ad1cc06adec6c
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