Instructions to use obiwan001/roadwork4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use obiwan001/roadwork4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="obiwan001/roadwork4") 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("obiwan001/roadwork4") model = AutoModelForImageClassification.from_pretrained("obiwan001/roadwork4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 106da7b2d4c7bf8c5427d7cb4079c91dacedf8b65f17a67b93bedd13ce7a07d6
- Size of remote file:
- 5.3 kB
- SHA256:
- 347fa148c8e382454a04d614e96abdd14ff709be94adfe135ccbbe7516e28679
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