Instructions to use vuihocrnd/abnormal-status-2-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vuihocrnd/abnormal-status-2-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="vuihocrnd/abnormal-status-2-2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModelForImageClassification model = AutoModelForImageClassification.from_pretrained("vuihocrnd/abnormal-status-2-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7fdb171f78d3f95108ee0c23ce4bbdd12b6a470160cc225e212a33bdb087fcc
- Size of remote file:
- 15.5 MB
- SHA256:
- 862b0c2822d63f1080bcea3c897285afb2be8d8357ce15b6bdd8cfe3910e983e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.