Instructions to use Hemg/Indian-sign-language-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hemg/Indian-sign-language-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Hemg/Indian-sign-language-classification") 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("Hemg/Indian-sign-language-classification") model = AutoModelForImageClassification.from_pretrained("Hemg/Indian-sign-language-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53896c6c0c489d50de3ae5cc942a307bbafb719f6ee44595a0cbebd56b456c39
- Size of remote file:
- 4.92 kB
- SHA256:
- 6d4cc254bd417c2f17ce84f386c23c3d546e6baa5aa0d91d876d7d91588f5bdb
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