| | ---
|
| | license: cc-by-sa-4.0
|
| | base_model:
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| | - vikp/texify
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| | pipeline_tag: image-to-text
|
| | ---
|
| |
|
| | ## texify-fp16-onnx
|
| |
|
| | https://huggingface.co/vikp/texify with fp16 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
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| |
|
| | ```bash
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| | pip install "optimum[onnxruntime-gpu]"
|
| | ```
|
| |
|
| | **Example:**
|
| |
|
| | ```python
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| | from optimum.onnxruntime import ORTModelForVision2Seq
|
| | from optimum.pipelines import pipeline
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| |
|
| | model = ORTModelForVision2Seq.from_pretrained("Spedon/texify-fp16-onnx", provider="CUDAExecutionProvider")
|
| | texify = pipeline(
|
| | "image-to-text",
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| | model,
|
| | feature_extractor="Spedon/texify-fp16-onnx",
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| | image_processor="Spedon/texify-fp16-onnx",
|
| | )
|
| | image = (
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| | "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 |
|
| | | ---------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------- |
|
| | |  |  |
|
| |
|
