ILSVRC/imagenet-1k
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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")A Vision Transformer (ViT) model fine-tuned to classify 1027 Pokemon including:
Perfect for Discord bots, Pokemon games, automated Pokemon identification!
This model is based on google/vit-base-patch16-224 and fine-tuned on Pokemon images from Generation 1 through Generation 9, plus exclusive event Pokemon from the popular Discord game Poketwo.