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 kinghtwo/pix2text-mfr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kinghtwo/pix2text-mfr 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="kinghtwo/pix2text-mfr")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("kinghtwo/pix2text-mfr") model = AutoModelForMultimodalLM.from_pretrained("kinghtwo/pix2text-mfr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d5a0fe5dbcb237a1fcbb7d803153101fca90f0149b5129a22721e0192e502d7
- Size of remote file:
- 87.5 MB
- SHA256:
- bd8d5c322792e9ec45793af5569e9748f82a3d728a9e00213dbfc56c1486f37d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.