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:
- a19367f7f0fc7bb42d69e5a1e3fad12f17e000ca44c984cc11b610681dc86a24
- Size of remote file:
- 32.1 MB
- SHA256:
- fed916330e5c4ad6f7c4bb9ebe0aea805d442643c0f03f1c28e1692d0fa7574f
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