Image-to-Text
MLX
Safetensors
PaddleOCR
English
Chinese
pp_ocrv6_tiny_rec
OCR
PaddlePaddle
text_recognition
Instructions to use mikoy92/PP-OCRv6-tiny-rec-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mikoy92/PP-OCRv6-tiny-rec-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir PP-OCRv6-tiny-rec-mlx mikoy92/PP-OCRv6-tiny-rec-mlx
- PaddleOCR
How to use mikoy92/PP-OCRv6-tiny-rec-mlx with PaddleOCR:
# Please refer to the document for information on how to use the model. # https://paddlepaddle.github.io/PaddleOCR/latest/en/version3.x/module_usage/module_overview.html
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
PP-OCRv6 tiny text recognition MLX
This is an MLX-format conversion of PaddlePaddle/PP-OCRv6_tiny_rec_safetensors for use with mlx-vlm.
import mlx.core as mx
from PIL import Image
from mlx_vlm import load
model, processor = load("mikoy92/PP-OCRv6-tiny-rec-mlx")
image = Image.open("word.png")
inputs = processor(image)
outputs = model(**inputs)
mx.eval(outputs.logits)
print(processor.post_process_text_recognition(outputs)[0])
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Model size
1.11M params
Tensor type
F32
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Base model
PaddlePaddle/PP-OCRv6_tiny_rec_safetensors