Instructions to use deepmind/vision-perceiver-conv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepmind/vision-perceiver-conv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="deepmind/vision-perceiver-conv") 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-conv") model = AutoModelForImageClassification.from_pretrained("deepmind/vision-perceiver-conv") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
eaaa872 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:50d6ac6768785e8e64792974f8d35501132733104a80fefd771e939a78e6837f
size 194643173
|