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:
- afd31f16ca03047bc7a2133435e61157c5f0603da36e94ad9592d26e22c4ff2e
- Size of remote file:
- 4.16 kB
- SHA256:
- ff1097c45aeb3dccaf6bad4564f800ddf052353749006f59683051ec142a590c
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