Image-to-Text
Transformers
Safetensors
Khmer
English
khmer-ocr
feature-extraction
ocr
text-recognition
khmer-text-recognition
transformer
squeeze-and-excitation
netra-lab
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)# pip install -U transformers accelerate # 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
Download special_tokens_map.json from Darayut/khmer-text-recognition: direct link, hf CLI and curl.
- Browser
- Download file 105 Bytes
-
https://huggingface.co/Darayut/khmer-text-recognition/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://Darayut/khmer-text-recognition/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/Darayut/khmer-text-recognition/resolve/main/special_tokens_map.json
105 Bytes
| { | |
| "bos_token": "<sos>", | |
| "eos_token": "<eos>", | |
| "pad_token": "<pad>", | |
| "unk_token": "<unk>" | |
| } | |