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/decoder_model.onnx from hf-internal-testing/tiny-random-t5: direct link, hf CLI and curl.
- Browser
- Download file 497 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-t5/resolve/refs%2Fpr%2F2/onnx/decoder_model.onnx
- Command line
-
hf download hf://hf-internal-testing/tiny-random-t5@refs/pr/2/onnx/decoder_model.onnx
-
curl -L -o decoder_model.onnx https://huggingface.co/hf-internal-testing/tiny-random-t5/resolve/refs%2Fpr%2F2/onnx/decoder_model.onnx
497 kB
- Xet hash:
- 99340ea0947df705aa5be1318f938f7baf175f6aa95c2e484390df196dc56ecc
- Size of remote file:
- 497 kB
- SHA256:
- 9282dbe89b1a39d1989dc716b3c0ad3eefa9a82df7635b57aa812311bf70cdd0
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