Instructions to use as-cle-bert/bcus-class-segformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use as-cle-bert/bcus-class-segformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="as-cle-bert/bcus-class-segformer") 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("as-cle-bert/bcus-class-segformer") model = AutoModelForImageClassification.from_pretrained("as-cle-bert/bcus-class-segformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
runs/Apr29_13-02-16_r-as-cle-bert-percbreac-is5m8hh9-3ecfd-n15uf/events.out.tfevents.1714395737.r-as-cle-bert-percbreac-is5m8hh9-3ecfd-n15uf.100.0
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