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:
- eed7e9f49fa7190a5594491d18d3f60f7142993414a49fc8169bc31360bb4520
- Size of remote file:
- 343 MB
- SHA256:
- 8e347321455aa5bd0f479f704563f294e8738aa2d8b58a6d2f49136163a7f1ed
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