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 khmerocr_cluster_ar.pth from Darayut/khmer-text-recognition: direct link, hf CLI and curl.
- Browser
- Download file 76.9 MB
-
https://huggingface.co/Darayut/khmer-text-recognition/resolve/main/khmerocr_cluster_ar.pth
- Command line
-
hf download hf://Darayut/khmer-text-recognition/khmerocr_cluster_ar.pth
-
curl -L -o khmerocr_cluster_ar.pth https://huggingface.co/Darayut/khmer-text-recognition/resolve/main/khmerocr_cluster_ar.pth
76.9 MB
- Xet hash:
- 766fd8f3b0e7947bd71499b53d4cd867ccce8fd0b89dc73d139287f29ff01720
- Size of remote file:
- 76.9 MB
- SHA256:
- ca47dd49dd72c34585f3d91576ac07bdcde0d87739500426af80df9eecd9a8bf
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