Instructions to use ativilambit/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ativilambit/results with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("ativilambit/results") model = AutoModelForMultimodalLM.from_pretrained("ativilambit/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcca55a670038d69deca3902841798a1dae4fad9ab7bf6f3e74e31a1ae8afa37
- Size of remote file:
- 4.16 kB
- SHA256:
- 715b80d2f1c7d803fb11fc7893a9e14aecffd986f80ba93a662a5279981de49f
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