Instructions to use Ganaa614/deit-emotion_model_6feats_mid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ganaa614/deit-emotion_model_6feats_mid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Ganaa614/deit-emotion_model_6feats_mid") 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("Ganaa614/deit-emotion_model_6feats_mid") model = AutoModelForImageClassification.from_pretrained("Ganaa614/deit-emotion_model_6feats_mid") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32a17f55d2dcec9474224bbf674324d44d9a72c8173a43daa409d8978d2103d6
- Size of remote file:
- 5.91 kB
- SHA256:
- ca2d1113f1940865bb3ed178031fa6c6d0aacab8377db7384b74587943fade73
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