Instructions to use kokovova/1f7aafc7-e588-4c49-bc2a-43288e6007ce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kokovova/1f7aafc7-e588-4c49-bc2a-43288e6007ce with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "kokovova/1f7aafc7-e588-4c49-bc2a-43288e6007ce") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2d93efc8b78b155c058c2718c3ca311d99081d85f9c221bafacc747c5973719
- Size of remote file:
- 6.71 kB
- SHA256:
- 68d23a8d8bf35662a02b004a5174610a8aa288aff099c39c44a230cd24c2a80b
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