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="torresflo/Poke-Model")
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("torresflo/Poke-Model")
model = AutoModelForImageClassification.from_pretrained("torresflo/Poke-Model")
Quick Links

Poké Model

Poké Model is a Pokémon Classifier created to be used with Pokédex AI. It is a fine-tuned model of google/vit-base-patch16-224 to classify Pokémon of the first generation.

More information on how to generate and how to use the model can be found on this dedicated repository.

License

Distributed under the GNU General Public License v3.0. See here for more information.

Downloads last month
7
Safetensors
Model size
85.9M params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support