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:
- 202fb0774d38ae4a879b0d4f8144779b3a541667c85cc3a440b2f363d47dcfb0
- Size of remote file:
- 32.1 MB
- SHA256:
- 9722579f304d8cb4bc754de1c86197169640bd1049738f78e4d3ab2d673d83ac
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