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:
- d92f17749ea20cde74537fd58c4663979096181fdbbe4d50f0d42a6d528b455d
- Size of remote file:
- 32.1 MB
- SHA256:
- a9d2c36c3edf5d1f7263c8bf7b40ecc467ea69e05ba3f4ba4bf942bf30d4accd
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