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 eoet9r/pix2text-mfr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eoet9r/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="eoet9r/pix2text-mfr")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("eoet9r/pix2text-mfr") model = AutoModelForMultimodalLM.from_pretrained("eoet9r/pix2text-mfr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download decoder_model.onnx from eoet9r/pix2text-mfr: direct link, hf CLI and curl.
- Browser
- Download file 30.1 MB
-
https://huggingface.co/eoet9r/pix2text-mfr/resolve/main/decoder_model.onnx
- Command line
-
hf download hf://eoet9r/pix2text-mfr/decoder_model.onnx
-
curl -L -o decoder_model.onnx https://huggingface.co/eoet9r/pix2text-mfr/resolve/main/decoder_model.onnx
30.1 MB
- Xet hash:
- 48eb787929bfecbf0940c838d08ec8aa6628d62b94d3b31599d4000639cd0c5e
- Size of remote file:
- 30.1 MB
- SHA256:
- fd0f92d7a012f3dae41e1ac79421aea0ea888b5a66cb3f9a004e424f82f3daed
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