Instructions to use kk-aivio/f264cf5c-fda0-49fc-8665-a7f7d352b8a7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/f264cf5c-fda0-49fc-8665-a7f7d352b8a7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lmsys/vicuna-7b-v1.3") model = PeftModel.from_pretrained(base_model, "kk-aivio/f264cf5c-fda0-49fc-8665-a7f7d352b8a7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab58fc378c271b4d04d818f3d1babd4453d0f32d8c1d310df3a2c3df6e42631a
- Size of remote file:
- 80 MB
- SHA256:
- 3a98800595af8e8980acee9947ec06046ac9ab1142bac38210aeb19eef50d838
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