Instructions to use gotzmann/1OV84 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gotzmann/1OV84 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "gotzmann/1OV84") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8dd490cd255308df7a9ce94ad49ceb035b9e7828e86074c230a48ac12048881
- Size of remote file:
- 5.37 kB
- SHA256:
- d6e8e4d344aea1572d88d007d68e97d68848494df841a1acbc1301fd7f9f38a3
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