Instructions to use fxmarty/t5-tiny-onnx-testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fxmarty/t5-tiny-onnx-testing with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fxmarty/t5-tiny-onnx-testing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download encoder_model.onnx from fxmarty/t5-tiny-onnx-testing: direct link, hf CLI and curl.
- Browser
- Download file 340 kB
-
https://huggingface.co/fxmarty/t5-tiny-onnx-testing/resolve/main/encoder_model.onnx
- Command line
-
hf download hf://fxmarty/t5-tiny-onnx-testing/encoder_model.onnx
-
curl -L -o encoder_model.onnx https://huggingface.co/fxmarty/t5-tiny-onnx-testing/resolve/main/encoder_model.onnx
340 kB
- Xet hash:
- 9c8a2bea2743841eccb94918c4bfe1023115ad46a1b215b5463ac81dff7ddf02
- Size of remote file:
- 340 kB
- SHA256:
- f78244c5df17e714b77c830a32e5fbf40a2decd0ad0f49b1005e32f8b65ec9bd
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