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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0baa5123c1683fc7bc7f96f7bc622c2cbea64264f166806bab8cc5e937365c10
- Size of remote file:
- 64.1 MB
- SHA256:
- 5dcf49ca24c0299836ac0f369703a1a2459aa14f8ca46ea91e08be4f9912331c
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