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 breezedeus/pix2text-mfr-1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use breezedeus/pix2text-mfr-1.5 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="breezedeus/pix2text-mfr-1.5")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("breezedeus/pix2text-mfr-1.5") model = AutoModelForImageTextToText.from_pretrained("breezedeus/pix2text-mfr-1.5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4098f01a6f17f8fa6cf97b7551fd9b453b7a6404af874005dff7f092fd38ca9
- Size of remote file:
- 87.5 MB
- SHA256:
- 080a3f660f08bc9ebcacdd96e34be6b6400f8c7e62d7cd0dd8251badc37f610b
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