Instructions to use BDRC/gyuyig-tsugdri-binary-script-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BDRC/gyuyig-tsugdri-binary-script-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="BDRC/gyuyig-tsugdri-binary-script-classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BDRC/gyuyig-tsugdri-binary-script-classifier", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "source": "hf", | |
| "classes": [ | |
| "Gyuyig", | |
| "Tsugdri" | |
| ], | |
| "num_classes": 2, | |
| "image_counts_per_class": { | |
| "train": { | |
| "Gyuyig": 171, | |
| "Tsugdri": 171 | |
| }, | |
| "val": { | |
| "Gyuyig": 30, | |
| "Tsugdri": 30 | |
| }, | |
| "test": {} | |
| }, | |
| "images_per_split": { | |
| "train": 342, | |
| "val": 60, | |
| "test": 0 | |
| }, | |
| "images_total": 402, | |
| "image_counts_total_per_class": { | |
| "Gyuyig": 201, | |
| "Tsugdri": 201 | |
| }, | |
| "balanced_parquet_dir": "None", | |
| "balanced_dataset_repo": "BDRC/gyuyig-tsugdri-binary-balanced-script-classification-dataset", | |
| "task": "gyuyig_tsugdri_binary_classification", | |
| "benchmark_dataset_repo": null, | |
| "benchmark_per_parent": 60, | |
| "test_size": 120 | |
| } | |