How to use from the
Use from the
Transformers library
# 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")
# 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")
Quick Links

ポケモンの選出画面での画像を入力として、そのポケモンを識別するモデルです。

microsoft/swin-base-patch4-window7-224-in22k を元にして fine-tuning しています。

Repo: https://github.com/fufufukakaka/poke_battle_logger

Downloads last month
55
Safetensors
Model size
87.2M params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support