Instructions to use BDRC/LhasaKanjur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BDRC/LhasaKanjur with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BDRC/LhasaKanjur", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "onnx-model": "LhasaKanjur.onnx", | |
| "input_width": 2000, | |
| "input_height": 80, | |
| "input_layer": "images", | |
| "output_layer": "Final", | |
| "squeeze_channel_dim": "yes", | |
| "swap_hw": "yes", | |
| "charset": "!#%'`()+-./0123456789:=?@ADHIMNRSTUWXY[\\]_abcdefghijklmnoprstuwyz|~§&äüö<>;" | |
| } |