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:
- 956ee33328a6e6d9d38e957b97832c4b700ad02bf8aa3203f30fdda53552c5da
- Size of remote file:
- 32.1 MB
- SHA256:
- d064bfa2c15ed9c626bfd7ec551bf1b07a111810e9e3b657027d9c89fe850d08
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