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
Download sync-notebook.command from VoltageVagabond/spam-classifier-liquid: direct link, hf CLI and curl.
- Browser
- Download file 202 Bytes
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https://huggingface.co/VoltageVagabond/spam-classifier-liquid/resolve/main/sync-notebook.command
- Command line
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hf download hf://VoltageVagabond/spam-classifier-liquid/sync-notebook.command
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curl -L -o sync-notebook.command https://huggingface.co/VoltageVagabond/spam-classifier-liquid/resolve/main/sync-notebook.command
202 Bytes
| cd "$(dirname "$0")" | |
| source venv/bin/activate | |
| echo "Syncing fine_tune.py parameters into the notebook..." | |
| echo "" | |
| python3 sync_notebook.py | |
| echo "" | |
| echo "Press any key to close..." | |
| read -n 1 | |