Instructions to use leejuhyoeng/test_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leejuhyoeng/test_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="leejuhyoeng/test_4")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("leejuhyoeng/test_4") model = AutoModelForMultimodalLM.from_pretrained("leejuhyoeng/test_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2fbfedd65286d8a412bd904401edb70d634f9c7d1441885762eeec8134c400b1
- Size of remote file:
- 4.66 kB
- SHA256:
- 4f4b0c471700cf568bc309f1e34665b0012be2afa3aed432b84c8a43ba5e4d11
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