Image-to-Text
Transformers
Safetensors
Khmer
khmer-ocr
feature-extraction
transformer
text-recognition
crnn
khmer-text-recognition
custom_code
Instructions to use Darayut/khmer-text-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Darayut/khmer-text-recognition 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="Darayut/khmer-text-recognition", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Darayut/khmer-text-recognition", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "KhmerOCR" | |
| ], | |
| "dtype": "float32", | |
| "emb_dim": 384, | |
| "max_global_len": 4096, | |
| "model_type": "khmer-ocr", | |
| "nhead": 8, | |
| "num_decoder_layers": 2, | |
| "num_encoder_layers": 2, | |
| "pad_idx": 0, | |
| "transformers_version": "4.57.1", | |
| "vocab_size": 124, | |
| "auto_map": { | |
| "AutoConfig": "configuration_khmerocr.KhmerOCRConfig", | |
| "AutoModel": "modeling_khmerocr.KhmerOCR" | |
| } | |
| } |