Instructions to use DannyWits/prism-celeb-model-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DannyWits/prism-celeb-model-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="DannyWits/prism-celeb-model-v2") 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("DannyWits/prism-celeb-model-v2") model = AutoModelForImageClassification.from_pretrained("DannyWits/prism-celeb-model-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Image Classification
Validation Metrics
loss: 2.3172543048858643
f1_macro: 0.26917130488559055
f1_micro: 0.2857142857142857
f1_weighted: 0.26917130488559055
precision_macro: 0.3455473098330241
precision_micro: 0.2857142857142857
precision_weighted: 0.3455473098330241
recall_macro: 0.2857142857142857
recall_micro: 0.2857142857142857
recall_weighted: 0.2857142857142857
accuracy: 0.2857142857142857
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Model tree for DannyWits/prism-celeb-model-v2
Base model
google/vit-base-patch16-224