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:
- ef424072038c3c5195ad90420c849f46cc63a8064e3d12043d24bdc4c615c15f
- Size of remote file:
- 4.16 kB
- SHA256:
- 2ab55d472eb5a6e6e9eaff317be264d02920b1f06ae5f500be94a3b5a04b14e5
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