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:
- 2ffdf20951abbd3934a235a11e4c1a79056659865f8cbe5b7f0a7660f9cd6c73
- Size of remote file:
- 32.1 MB
- SHA256:
- ef44601c9f76aec7918aa39e3c68042896dfc3d8b99c44b32d58334aff1776a5
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