Image Classification
Transformers
PyTorch
TensorBoard
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use jayanta/google-vit-base-patch16-224-cartoon-emotion-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jayanta/google-vit-base-patch16-224-cartoon-emotion-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jayanta/google-vit-base-patch16-224-cartoon-emotion-detection") 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("jayanta/google-vit-base-patch16-224-cartoon-emotion-detection") model = AutoModelForImageClassification.from_pretrained("jayanta/google-vit-base-patch16-224-cartoon-emotion-detection") - Notebooks
- Google Colab
- Kaggle
Fine-tuning dataset
#2
by shiv6891 - opened
Hi, Could you please elaborate the details of the dataset this model has been fine-tuned on?
Its not entirely clear form the model description.
@shiv6891 I think its this one: https://github.com/riti1302/Cartoon-Emotion-Recognition
But would be great to have the author answer.