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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17ee88c0b4098a960e2fc8227492163f0e11f6640850e73366f302aab3999091
- Size of remote file:
- 5.37 kB
- SHA256:
- 3a66b5df5af0f78b2046f55068e7dae33c6400c6f6dea8f64721b9de059b3135
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