Image Classification
Transformers
TensorBoard
Safetensors
vit
animals
vision-transformer
transfer-learning
Generated from Trainer
Eval Results (legacy)
Instructions to use maceythm/vit-90-animals with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maceythm/vit-90-animals with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="maceythm/vit-90-animals") 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("maceythm/vit-90-animals") model = AutoModelForImageClassification.from_pretrained("maceythm/vit-90-animals", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from maceythm/vit-90-animals: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/maceythm/vit-90-animals/resolve/main/training_args.bin
- Command line
-
hf download hf://maceythm/vit-90-animals/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/maceythm/vit-90-animals/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- b3e2d1463ebf57b47a1a0d3878023bb088fcab7fcbed0197f60ff17c613030d4
- Size of remote file:
- 5.37 kB
- SHA256:
- 23b261d659c1d55fce66c5df78dc6e0951adc8c31ad781a1d266166c29644083
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