Instructions to use sudo-s/robot22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/robot22 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/robot22") 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("sudo-s/robot22") model = AutoModelForImageClassification.from_pretrained("sudo-s/robot22", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb6092c80979c5c59a378f3ab99c811836df53994b9b5de81320d8de4b27d371
- Size of remote file:
- 3.25 kB
- SHA256:
- 0a169e6c647a4437489fbbf402ebd79a5a58b0d88596f6af53da1cd7f4baf722
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.