Instructions to use PragmaticMachineLearning/price-norm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PragmaticMachineLearning/price-norm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("PragmaticMachineLearning/price-norm") model = AutoModelForMultimodalLM.from_pretrained("PragmaticMachineLearning/price-norm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6845d78181f72221f6a8e8a8c0dfa414259f8283dcd942b684d3e409e14d63e
- Size of remote file:
- 3.58 kB
- SHA256:
- ee3dd1e274560f2dda62bcb62fd92ff823b040a8c7686508707299dc7babc591
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