Instructions to use tiennguyenbnbk/teacher-status-van-tiny-256-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiennguyenbnbk/teacher-status-van-tiny-256-0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="tiennguyenbnbk/teacher-status-van-tiny-256-0") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModelForImageClassification model = AutoModelForImageClassification.from_pretrained("tiennguyenbnbk/teacher-status-van-tiny-256-0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 980004f7139f492f49ec413c8a21f65436e3aebdaee322b1d455cd181ac43b05
- Size of remote file:
- 15.5 MB
- SHA256:
- 98c353494bc53f04d02131daf8d9a3f2d5b30786628fa1882f8dbb024e2d07fb
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