Instructions to use aspends/coco_binary_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aspends/coco_binary_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="aspends/coco_binary_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("aspends/coco_binary_classification") model = AutoModelForImageClassification.from_pretrained("aspends/coco_binary_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
be7ec74 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:31bcd333904b8f92e39b95c029b1a966d8d22fbe638d926692b4cef8e9f5aade
size 343469752
|