Instructions to use Someshfengde/hiera_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Someshfengde/hiera_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Someshfengde/hiera_model") 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("Someshfengde/hiera_model") model = AutoModelForImageClassification.from_pretrained("Someshfengde/hiera_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71a41ad3fa89ebb63be799fb4021404edd1733de9eb6e7bf6ce549a3b27b2c23
- Size of remote file:
- 4.98 kB
- SHA256:
- c8099088778224b48e30b5bf1d246e9b5f319c88d8e1698b18554849c1d65daa
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