Instructions to use TalentoTechIA/GiovanniV with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TalentoTechIA/GiovanniV with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="TalentoTechIA/GiovanniV") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("TalentoTechIA/GiovanniV") model = AutoModelForImageClassification.from_pretrained("TalentoTechIA/GiovanniV", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06616005fcf78a8e1cf104aba029949bb84e8a0bcd103527900f9418f32d97a2
- Size of remote file:
- 5.37 kB
- SHA256:
- 92c997101e24707fa85e233e6645fad395f22547d7b5613bdd989ec0961f9009
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