Instructions to use TalentoTechIA/Andres_Yate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TalentoTechIA/Andres_Yate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="TalentoTechIA/Andres_Yate") 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/Andres_Yate") model = AutoModelForImageClassification.from_pretrained("TalentoTechIA/Andres_Yate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d86fb753704eef84f35740cbc0dd858a0fa5d5c5d1611dccc4faa70ddc1104df
- Size of remote file:
- 5.37 kB
- SHA256:
- c75b227801a2c51f6ab4599a1954dca4cd74d43a55dde70c78be0c2ed5733475
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