Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use mohamedsaeed823/ARSL_letters_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohamedsaeed823/ARSL_letters_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mohamedsaeed823/ARSL_letters_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("mohamedsaeed823/ARSL_letters_model") model = AutoModelForImageClassification.from_pretrained("mohamedsaeed823/ARSL_letters_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 577c53e43a9139275425d631a30c64da8e27e5e1ecc1983ad2a3de979b41609f
- Size of remote file:
- 5.11 kB
- SHA256:
- 76cd5c473af4e876e40cd9bfeaecf91c7637f6c2bc9ccdf294edab503859f5fe
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