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:
- 9bac4ef5951cc5ba0a74bac8f50a3908bdb9cdaca548962b84f7e797ecf67237
- Size of remote file:
- 32.1 MB
- SHA256:
- c93124a16b69e6320444d55ea65aec0682e762a3ff1452cb28f7ebaeae624a25
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