Instructions to use gotzmann/1OV80 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gotzmann/1OV80 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/1OV80") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5bb0b74e66b0b80ae47b0080169bf94ce09b9ee4ea199b20df3ef4b669f655a
- Size of remote file:
- 5.37 kB
- SHA256:
- 2fe2134b4bceb755da861fd328960bd034c3cad79e5eab9f2840b2100e5a9a63
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