Instructions to use ashduino101/furry-species-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashduino101/furry-species-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ashduino101/furry-species-classification") 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("ashduino101/furry-species-classification") model = AutoModelForImageClassification.from_pretrained("ashduino101/furry-species-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (c32a838a56b8a2c907823ea1c8542c8100a96e17) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>0567e10 -
oops
824e996 -
fix readme
0d1baf7 -
Initial model
519a2bc -
initial commit
0d18b5a