PP OCRv6 Medium Det Mlx
This is an MLX-format conversion of PaddlePaddle/PP-OCRv6mediumdetsafetensors for use with mlx-vlm.
Modellquelle
- Art
- Other
- Dateigröße
- 83,9 MB
- Basismodell
- PaddlePaddle/PP-OCRv6_medium_det_safetensors
- Version
- vRevision 364560d
- Aktualisiert
- 23. Okt. 2026
- Downloads
- 31
- Quelle
- Hugging Face
Quellenbeschreibung
PP-OCRv6 medium text detection MLX
This is an MLX-format conversion of PaddlePaddle/PP-OCRv6_medium_det_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-medium-det-mlx")
image = Image.open("document.png")
inputs = processor(image)
outputs = model(**inputs)
mx.eval(outputs.logits)
result = processor.post_process_object_detection(
outputs,
target_sizes=inputs["target_sizes"],
)[0]
print(result["boxes"])
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 23. Okt.
Modellartefakte
1 Artefakt
Modellartefakte
1 ArtefaktQuellenauszüge
3 Auszüge
Quellenauszüge
3 Auszüge--- license: apache-2.0 library_name: mlx language: - en - zh pipeline_tag: image-to-text tags: - OCR - PaddlePaddle - PaddleOCR - textline_detection - mlx base_model: PaddlePaddle/PP-OCRv6_medium_det_safetensors --- # PP-OCRv6 medium text detection MLX This is an MLX-format conversion of `PaddlePaddle/PP-OCRv6_medium_det_safetensors` for use with `mlx-vlm`. ```python import mlx.core as mx from PIL import Image from mlx_vlm import load model, processor = load("mikoy92/PP-OCRv6-medium-det-mlx") image = Image.open("document.png") inputs = processor(image) outputs = model(**inputs) mx.eval(outputs.logits) result = processor.post_process_object_detection( outputs, target_sizes=inputs["target_sizes"], )[0] print(result["boxes"]) ```
Source context: 31 downloads · 0 likes · Pipeline image-to-text · Library mlx · Repo mikoy92/PP-OCRv6-medium-det-mlx
Source context: 102 downloads · 0 likes · Pipeline image-to-text · Library mlx · Repo mikoy92/PP-OCRv6-medium-det-mlx
