Instructions to use hf-internal-testing/tiny-random-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-t5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download onnx/encoder_model.onnx from hf-internal-testing/tiny-random-t5: direct link, hf CLI and curl.
- Browser
- Download file 340 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-t5/resolve/refs%2Fpr%2F2/onnx/encoder_model.onnx
- Command line
-
hf download hf://hf-internal-testing/tiny-random-t5@refs/pr/2/onnx/encoder_model.onnx
-
curl -L -o encoder_model.onnx https://huggingface.co/hf-internal-testing/tiny-random-t5/resolve/refs%2Fpr%2F2/onnx/encoder_model.onnx
340 kB
- Xet hash:
- 77971a79761ad6892bd188bad90a6cf5e1c6cfb07a221a7e80d9673b1b0eecd2
- Size of remote file:
- 340 kB
- SHA256:
- c89ef108ca4d37beba417afaf0930368d78a9243aab4cbb9554ab4aa05046cbb
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