Instructions to use bhavinjawade/TQTune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bhavinjawade/TQTune with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bhavinjawade/TQTune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download TextGrad_Optimization.ipynb from bhavinjawade/TQTune: direct link, hf CLI and curl.
- Browser
- Download file 30.5 kB
-
https://huggingface.co/bhavinjawade/TQTune/resolve/main/TextGrad_Optimization.ipynb
- Command line
-
hf download hf://bhavinjawade/TQTune/TextGrad_Optimization.ipynb
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curl -L -o TextGrad_Optimization.ipynb https://huggingface.co/bhavinjawade/TQTune/resolve/main/TextGrad_Optimization.ipynb
30.5 kB