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:
- ea8d3ddca578cea5277aefb1822d1013ab2c65fab7d8c0f373b68df49f916017
- Size of remote file:
- 990 MB
- SHA256:
- d616a60ffd3542e2ebf93ccae79e7b3887851de6ad904e4e27d13b004659643b
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