Instructions to use hf-internal-testing/tiny-random-MT5EncoderModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MT5EncoderModel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MT5EncoderModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MT5EncoderModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 273057b315367e67cf677756d99b78f9bb6307c1ad3f836a3d1f69bd17b7f6e3
- Size of remote file:
- 32.1 MB
- SHA256:
- 9fcd55716bbd0945370a86625838c1c49b71da71f16d015802cc8cd0eb878cd2
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