Instructions to use kk-aivio/4f83fc75-c47b-4ffc-9c5d-992d2de52d08 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/4f83fc75-c47b-4ffc-9c5d-992d2de52d08 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "kk-aivio/4f83fc75-c47b-4ffc-9c5d-992d2de52d08") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8bf9dfb967596a762896335e4553181756bf317d4da8acc77394315243a363ce
- Size of remote file:
- 6.78 kB
- SHA256:
- 1a22299dfb021613bebd434b40a879f7456b3667ed33ae96e64a9dc146c52fca
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