Instructions to use deekshitha11/Alphabet-Sign-Language-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deekshitha11/Alphabet-Sign-Language-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="deekshitha11/Alphabet-Sign-Language-Detection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("deekshitha11/Alphabet-Sign-Language-Detection") model = AutoModelForImageClassification.from_pretrained("deekshitha11/Alphabet-Sign-Language-Detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c385745569322c25e4d8d5e56c8f98bcfb9168a55c0476a85a926cb21280361f
- Size of remote file:
- 5.3 kB
- SHA256:
- 20111e84a551ea8aa40b7c13479cf0a63c273323121e66cd5b3dd0143f930ed7
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