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:
- 2ff89299f86dc8bc02d3382644c711aeafc4017b0d19ebf575b8c5e0972164a1
- Size of remote file:
- 32.1 MB
- SHA256:
- c144e91ba134dfa76525e32cb39e006cba8e45b200c1dffb796d7a50a58de48f
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