Image-to-Text
Transformers
ONNX
vision-encoder-decoder
image-text-to-text
latex-ocr
math-ocr
math-formula-recognition
mfr
pix2text
p2t
Instructions to use Brian314/pix2text-mfr-quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Brian314/pix2text-mfr-quantized 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="Brian314/pix2text-mfr-quantized")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("Brian314/pix2text-mfr-quantized") model = AutoModelForImageTextToText.from_pretrained("Brian314/pix2text-mfr-quantized") - Notebooks
- Google Colab
- Kaggle
Thank you for the int8 pix2text-mfr encoder
#1 opened 2 days ago
by
Fanfull