Instructions to use codedrainer/uae-license-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codedrainer/uae-license-detection with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="codedrainer/uae-license-detection")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("codedrainer/uae-license-detection") model = AutoModel.from_pretrained("codedrainer/uae-license-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "naver-clova-ix/donut-base", | |
| "align_long_axis": false, | |
| "architectures": [ | |
| "DonutModel" | |
| ], | |
| "decoder_layer": 4, | |
| "encoder_layer": [ | |
| 2, | |
| 2, | |
| 14, | |
| 2 | |
| ], | |
| "input_size": [ | |
| 1280, | |
| 960 | |
| ], | |
| "max_length": 768, | |
| "max_position_embeddings": 768, | |
| "model_type": "vision-encoder-decoder", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.25.1", | |
| "window_size": 10 | |
| } | |