| --- |
| license: cc-by-sa-4.0 |
| base_model: |
| - vikp/texify |
| pipeline_tag: image-to-text |
| --- |
| |
| ## texify-quantized-onnx |
|
|
| https://huggingface.co/vikp/texify with quantized ONNX weights, shoutout to https://huggingface.co/Xenova/texify |
|
|
| ## Usage (`optimum[onnxruntime]`) |
|
|
| If you haven't already, you can install the optimum with the onnxrumtime backend |
|
|
| ```bash |
| pip install "optimum[onnxruntime]" |
| ``` |
|
|
| **Example:** |
|
|
| ```python |
| from optimum.onnxruntime import ORTModelForVision2Seq |
| from optimum.pipelines import pipeline |
| |
| model = ORTModelForVision2Seq.from_pretrained("Spedon/texify-quantized-onnx") |
| texify = pipeline( |
| "image-to-text", |
| model, |
| feature_extractor="Spedon/texify-quantized-onnx", |
| image_processor="Spedon/texify-quantized-onnx", |
| ) |
| image = ( |
| "https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/latex.png" |
| ) |
| latex = texify(image, max_new_tokens=384) |
| print(latex) |
| # [{'generated_text': "The potential $V_i$ of cell $\\mathcal{C}_i$ centred at position $\\mathbf{r}_i$ is related to the surface charge densities $\\sigma_j$ of cells $\\mathcal{C}_j$ $j\\in[1,N]$ through the superposition principle as: $$V_i\\,=\\,\\sum_{j=0}^{N}\\,\\frac{\\sigma_j}{4\\pi\\varepsilon_0}\\,\\int_{\\mathcal{C}_j}\\frac{1}{\\|\\mathbf{r}_i-\\mathbf{r}'\\|}\\,\\mathrm{d}^2\\mathbf{r}'\\,=\\,\\sum_{j=0}^{N}\\,Q_{ij}\\,\\sigma_j,$$ where the integral over the surface of cell $\\mathcal{C}_j$ only depends on $\\mathcal{C}_j$ shape and on the relative position of the target point $\\mathbf{r}_i$ with respect to $\\mathcal{C}_j$ location, as $\\sigma_j$ is assumed constant over the whole surface of cell $\\mathcal{C}_j$. "}] |
| ``` |
|
|
| | Input image | Visualized output | |
| | ---------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------- | |
| |  |  | |
|
|
|
|
