Image-to-Text
Transformers
Safetensors
qwen3_5
image-text-to-text
ocr
table-recognition
document-understanding
Instructions to use lschiemanowski/tablereader-lightonocr-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lschiemanowski/tablereader-lightonocr-v0 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="lschiemanowski/tablereader-lightonocr-v0")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("lschiemanowski/tablereader-lightonocr-v0") model = AutoModelForMultimodalLM.from_pretrained("lschiemanowski/tablereader-lightonocr-v0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from lschiemanowski/tablereader-lightonocr-v0: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/lschiemanowski/tablereader-lightonocr-v0/resolve/main/tokenizer.json
- Command line
-
hf download hf://lschiemanowski/tablereader-lightonocr-v0/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/lschiemanowski/tablereader-lightonocr-v0/resolve/main/tokenizer.json
20 MB
- Xet hash:
- e558cdad9a88d177076f9525ed4ef2d55dfd5dafafd6baac7c6105590ab49b7b
- Size of remote file:
- 20 MB
- SHA256:
- a5cd9732badce41de57e6efce8302930ded1c1188c5f81feb2bd6c24c4a1941f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.