Instructions to use cimol/f5ca0978-7348-4e89-a5a8-0753f63260a9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/f5ca0978-7348-4e89-a5a8-0753f63260a9 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, "cimol/f5ca0978-7348-4e89-a5a8-0753f63260a9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60b2c9d19db43b6a89c911e5af91bf3376d10a285acf85165e59560b0884e40c
- Size of remote file:
- 7.03 kB
- SHA256:
- d954f8435a1982db677a8b3d2230cf0b30c39184172a3f23231128c10c6855d1
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