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:
- 5636bec15d7f87258a4f1403dfe796b635fdfd540fc1121ed3deaa6640f68d9c
- Size of remote file:
- 4.16 kB
- SHA256:
- 159a9b1c96b98a38f3439025440c5b108ec904e632bda6b04bdfa4c0d57c5d9a
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