Instructions to use Recompense/Midas-pricer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Recompense/Midas-pricer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Recompense/Midas-pricer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 335 Bytes
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