Image Classification
Transformers
Safetensors
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Instructions to use imzynoxprince/pokemons-image-classifier-gen1-gen9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imzynoxprince/pokemons-image-classifier-gen1-gen9 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="imzynoxprince/pokemons-image-classifier-gen1-gen9") 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("imzynoxprince/pokemons-image-classifier-gen1-gen9") model = AutoModelForImageClassification.from_pretrained("imzynoxprince/pokemons-image-classifier-gen1-gen9", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c8fc0fcaedf43dc9a83b9aee887bee4f8a0ebc068074297722b253bdf585153
- Size of remote file:
- 346 MB
- SHA256:
- 5b98a06b0b48114fff7fbafd06c19d20e35e0ebbc668ebb6cb697737fd8842fa
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