Instructions to use MixTex/tiny-ZhEn-for-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MixTex/tiny-ZhEn-for-onnx 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="MixTex/tiny-ZhEn-for-onnx")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("MixTex/tiny-ZhEn-for-onnx") model = AutoModelForMultimodalLM.from_pretrained("MixTex/tiny-ZhEn-for-onnx") - Notebooks
- Google Colab
- Kaggle
Upload 2 files
#1
by lrqlrqlrq2 - opened
- decoder_model_merged.onnx +3 -0
- encoder_model.onnx +3 -0
decoder_model_merged.onnx
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oid sha256:2bd6426da057a2d693afd5c8600bd1b82ea51769b15b7e73a1ca1188c648f95a
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encoder_model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:5a1d849cceefb9151e44bd372dd0c32c215b94c26a05d875da2e8552075fad1b
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size 112789609
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