Instructions to use pain/ArSL_AlphabetsClassificationModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pain/ArSL_AlphabetsClassificationModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="pain/ArSL_AlphabetsClassificationModel") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pain/ArSL_AlphabetsClassificationModel", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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| { | |
| "architectures": [ | |
| "ResNetForImageClassification" | |
| ], | |
| "id2label": { | |
| "0": "Ain", | |
| "1": "Al", | |
| "2": "Alef", | |
| "3": "Beh", | |
| "4": "Dad", | |
| "5": "Dal", | |
| "6": "Feh", | |
| "7": "Ghain", | |
| "8": "Hah", | |
| "9": "Heh", | |
| "10": "Jeem", | |
| "11": "Kaf", | |
| "12": "Khah", | |
| "13": "Laa", | |
| "14": "Lam", | |
| "15": "Meem", | |
| "16": "Noon", | |
| "17": "Qaf", | |
| "18": "Reh", | |
| "19": "Sad", | |
| "20": "Seen", | |
| "21": "Sheen", | |
| "22": "Tah", | |
| "23": "Teh", | |
| "24": "Teh_Marbuta", | |
| "25": "Theh", | |
| "26": "Waw", | |
| "27": "Yeh", | |
| "28": "Zah", | |
| "29": "Zain", | |
| "30": "thal", | |
| }, | |
| "model_type": "resnet", | |
| "num_channels": 3, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.18.0.dev0" | |
| } | |