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:
- 738d235bba6a40c1c58bbad43b5b8caa764b4de7f51f22d616152f289055624d
- Size of remote file:
- 990 MB
- SHA256:
- 476f316577859fa05ada88d46232bf4cec0d162779e92e1263c940fd3da57ba7
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