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:
- 483060ca120538718d34ddce28e4ddda1fe91c483e272c466c4998d65f6ef88d
- Size of remote file:
- 64.1 MB
- SHA256:
- 3c7c416d535cacd5efc16439f3841c5d5469e7abd4ab5b5b28415b15cc950cc2
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