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:
- 776b838c1b0694b8b6d675e2d83227069eb83efefcad4c5d2bc2a1caa0a30aea
- Size of remote file:
- 990 MB
- SHA256:
- 7c48518b2bc8a61f9580f0d9bd8d44309c1100914131190a60630e99f09d85bf
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