Instructions to use fufufukakaka/pokemon_image_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fufufukakaka/pokemon_image_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="fufufukakaka/pokemon_image_classifier") 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("fufufukakaka/pokemon_image_classifier") model = AutoModelForImageClassification.from_pretrained("fufufukakaka/pokemon_image_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload preprocessor_config.json with huggingface_hub (#41)
Verified signature- Upload preprocessor_config.json with huggingface_hub (b9bb9608b6df882be013e5bab3be8b7158e1d26c)cda4f5b
-
Upload preprocessor_config.json with huggingface_hub (#3)
- Upload preprocessor_config.json with huggingface_hub (d78af5a079e0cd81a4baaf526785e2f39cad7652)3e78318