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:
- aff59eb9d14d8c4e40e702ab69e09d512ecd910e68fc678a4028f7dfe6196df4
- Size of remote file:
- 64.1 MB
- SHA256:
- add2791ae15410464bfb9326adac1b0e05d12bd76f091cb44258bfce541fd83f
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