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:
- 4ffc486cc29da72700efee1ec2b0c2ef1e3e2950e6ab4a603d4f5bb6a045c925
- Size of remote file:
- 990 MB
- SHA256:
- 9d084964e34f34955dac159fd111e235017e50678ddbe3f597c05460e1f40491
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