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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload proposed-architecture.png
Browse files- .gitattributes +1 -0
- proposed-architecture.png +3 -0
.gitattributes
CHANGED
|
@@ -41,3 +41,4 @@ assets/Model-Architecture.png filter=lfs diff=lfs merge=lfs -text
|
|
| 41 |
assets/pdf_convert.png filter=lfs diff=lfs merge=lfs -text
|
| 42 |
assets/proposed-architecture.png filter=lfs diff=lfs merge=lfs -text
|
| 43 |
assets/sucess_case.png filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 41 |
assets/pdf_convert.png filter=lfs diff=lfs merge=lfs -text
|
| 42 |
assets/proposed-architecture.png filter=lfs diff=lfs merge=lfs -text
|
| 43 |
assets/sucess_case.png filter=lfs diff=lfs merge=lfs -text
|
| 44 |
+
proposed-architecture.png filter=lfs diff=lfs merge=lfs -text
|
proposed-architecture.png
ADDED
|
Git LFS Details
|