Instructions to use VoltageVagabond/spam-classifier-liquid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VoltageVagabond/spam-classifier-liquid with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LiquidAI/LFM2.5-1.2B-Instruct") model = PeftModel.from_pretrained(base_model, "VoltageVagabond/spam-classifier-liquid") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f58fc8d24a511141febcf1bac4e9a00911c3fe5e0243301f33d62c3d081cc51b
- Size of remote file:
- 5.71 kB
- SHA256:
- 5bd3e5abc6ef5bc38efc338fc4014b24c23c1bf16f86b2ba243374bd94c6e850
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