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:
- c4c634d6533a890dfa0d5b49ac35ec9c53976f97e10a62169ee247e440fcc633
- Size of remote file:
- 4.16 kB
- SHA256:
- 90a771eede72cf7c25000c2104809583c9883f8ccd6b21ca61651ea218fdcc3a
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