Instructions to use JustFadjrin/batik-vit-model-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JustFadjrin/batik-vit-model-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="JustFadjrin/batik-vit-model-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("JustFadjrin/batik-vit-model-classification") model = AutoModelForImageClassification.from_pretrained("JustFadjrin/batik-vit-model-classification") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "ViTForImageClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "dtype": "float32", | |
| "encoder_stride": 16, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "Aceh_Pintu_Aceh", | |
| "1": "Bali_Barong", | |
| "2": "Bali_Merak", | |
| "3": "DKI_Ondel_Ondel", | |
| "4": "JawaBarat_Megamendung", | |
| "5": "JawaTimur_Pring", | |
| "6": "Kalimantan_Dayak", | |
| "7": "Lampung_Gajah", | |
| "8": "Madura_Mataketeran", | |
| "9": "Maluku_Pala", | |
| "10": "NTB_Lumbung", | |
| "11": "Papua_Asmat", | |
| "12": "Papua_Cendrawasih", | |
| "13": "Papua_Tifa", | |
| "14": "Solo_Parang", | |
| "15": "SulawesiSelatan_Lontara", | |
| "16": "SumateraBarat_Rumah_Minang", | |
| "17": "SumateraUtara_Boraspati", | |
| "18": "Yogyakarta_Kawung", | |
| "19": "Yogyakarta_Parang" | |
| }, | |
| "image_size": 224, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "Aceh_Pintu_Aceh": 0, | |
| "Bali_Barong": 1, | |
| "Bali_Merak": 2, | |
| "DKI_Ondel_Ondel": 3, | |
| "JawaBarat_Megamendung": 4, | |
| "JawaTimur_Pring": 5, | |
| "Kalimantan_Dayak": 6, | |
| "Lampung_Gajah": 7, | |
| "Madura_Mataketeran": 8, | |
| "Maluku_Pala": 9, | |
| "NTB_Lumbung": 10, | |
| "Papua_Asmat": 11, | |
| "Papua_Cendrawasih": 12, | |
| "Papua_Tifa": 13, | |
| "Solo_Parang": 14, | |
| "SulawesiSelatan_Lontara": 15, | |
| "SumateraBarat_Rumah_Minang": 16, | |
| "SumateraUtara_Boraspati": 17, | |
| "Yogyakarta_Kawung": 18, | |
| "Yogyakarta_Parang": 19 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "model_type": "vit", | |
| "num_attention_heads": 12, | |
| "num_channels": 3, | |
| "num_hidden_layers": 12, | |
| "patch_size": 16, | |
| "pooler_act": "tanh", | |
| "pooler_output_size": 768, | |
| "problem_type": "single_label_classification", | |
| "qkv_bias": true, | |
| "transformers_version": "5.0.0", | |
| "use_cache": false | |
| } | |