Instructions to use hf-internal-testing/tiny-random-marian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-marian with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-marian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download onnx/encoder_model.onnx from hf-internal-testing/tiny-random-marian: direct link, hf CLI and curl.
- Browser
- Download file 3.77 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-marian/resolve/refs%2Fpr%2F2/onnx/encoder_model.onnx
- Command line
-
hf download hf://hf-internal-testing/tiny-random-marian@refs/pr/2/onnx/encoder_model.onnx
-
curl -L -o encoder_model.onnx https://huggingface.co/hf-internal-testing/tiny-random-marian/resolve/refs%2Fpr%2F2/onnx/encoder_model.onnx
3.77 MB
- Xet hash:
- 846a86943c6f4e9ebec9b2c43982ad0ef552b51b421bcee75790742e46094c85
- Size of remote file:
- 3.77 MB
- SHA256:
- 0c6025b7e40d02890e5fcc9fd0c0dcdb7cd5f9cac54c4b4313451da3e9c7ec41
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