Instructions to use gavrilstep/2f7ddbff-dbe5-41d8-8685-ba89cb0994cf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gavrilstep/2f7ddbff-dbe5-41d8-8685-ba89cb0994cf with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Eurdem/Defne_llama3_2x8B") model = PeftModel.from_pretrained(base_model, "gavrilstep/2f7ddbff-dbe5-41d8-8685-ba89cb0994cf") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e7afe4bb1d9c16d92127d28b8f24555c1af22b8ae7828f06506a9682c9f9fc6
- Size of remote file:
- 290 MB
- SHA256:
- 05519d26f39c6dc2d637b6872eee88326b661c6836fb23f9f29fc54f2041fb93
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