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:
- 2f8fada220e7eda95d10b91730b8e23cf23ec4f8f0faedbc6e7293bc7fcd4f91
- Size of remote file:
- 32.1 MB
- SHA256:
- 7c66f38f008b2a9656c9f1fde14af79f0e5047f5b699bd6a6645289ca0c0fcb1
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