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:
- 3cb9bb9b8b8fb6817aca1aea9e9b5813bbae3a9bdaf1edabb15675c095b88625
- Size of remote file:
- 64.1 MB
- SHA256:
- 52fde04d42711b694ea42c24a18dd97f6c18831f2265028d869ada8889c43f00
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