Instructions to use MarfinF/emotion_classification_adjusted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MarfinF/emotion_classification_adjusted with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="MarfinF/emotion_classification_adjusted") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("MarfinF/emotion_classification_adjusted") model = AutoModelForImageClassification.from_pretrained("MarfinF/emotion_classification_adjusted", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 60
Verified signaturef2c5eb8 -
Training in progress, epoch 59
Verified signaturec918c2b -
Training in progress, epoch 54
Verified signatured19026c -
Training in progress, epoch 49
Verified signature5d4be9e -
Training in progress, epoch 44
Verified signaturedb879a1 -
Training in progress, epoch 36
Verified signature1fa8e0e -
Training in progress, epoch 30
Verified signature82e5946 -
Training in progress, epoch 1
Verified signature2e8a47a