Instructions to use hf-internal-testing/tiny-random-m2m_100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-m2m_100 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-m2m_100", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download onnx/encoder_model.onnx from hf-internal-testing/tiny-random-m2m_100: direct link, hf CLI and curl.
- Browser
- Download file 8.25 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-m2m_100/resolve/refs%2Fpr%2F2/onnx/encoder_model.onnx
- Command line
-
hf download hf://hf-internal-testing/tiny-random-m2m_100@refs/pr/2/onnx/encoder_model.onnx
-
curl -L -o encoder_model.onnx https://huggingface.co/hf-internal-testing/tiny-random-m2m_100/resolve/refs%2Fpr%2F2/onnx/encoder_model.onnx
8.25 MB
- Xet hash:
- a24c2f7c1c1bcf45d3147a8e1401f1a594b9cf8e2ee702f5c6670e8e28752d2a
- Size of remote file:
- 8.25 MB
- SHA256:
- 549877c9f84f0495c91e8489e3b8c28c2208983eeb00e4033d0b42c8b582aa46
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