Instructions to use callMeRover/fire_cv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use callMeRover/fire_cv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="callMeRover/fire_cv") 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("callMeRover/fire_cv") model = AutoModelForImageClassification.from_pretrained("callMeRover/fire_cv") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a798bd611c56ef3fcd06a22c0fcf68019bf06f262515a43da5930ea233e39f05
- Size of remote file:
- 3.58 kB
- SHA256:
- b84c07ec645309f05e28b289de342cda99d2b03a001f90617d3d389c7d3baf1a
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