Instructions to use TalentoTechIA/Martin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TalentoTechIA/Martin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="TalentoTechIA/Martin") 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/Martin") model = AutoModelForImageClassification.from_pretrained("TalentoTechIA/Martin") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc5d9569c8a146826fd34fb4f3aba4b833923454de4c3970524c096e569e9edf
- Size of remote file:
- 343 MB
- SHA256:
- 43a6806e18460c6bca6951cc3400044c2c8ec553ac6d078c847eec02e5db856c
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