Instructions to use deepmind/vision-perceiver-fourier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepmind/vision-perceiver-fourier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="deepmind/vision-perceiver-fourier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoTokenizer, AutoModelForImageClassification tokenizer = AutoTokenizer.from_pretrained("deepmind/vision-perceiver-fourier") model = AutoModelForImageClassification.from_pretrained("deepmind/vision-perceiver-fourier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70451757c0de516d95507c0a1209f8f479ec2bb34d6d0fd9e74d103adb30bd2c
- Size of remote file:
- 194 MB
- SHA256:
- 0ff9c0727636ef852ec6cfa8f88177c59ec4818058b6035130660a5a2197c812
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