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:
- f24be7f0fa0dde82038145083ed6b5e7b199d616e199e28653c57f06f7b096c5
- Size of remote file:
- 32.1 MB
- SHA256:
- ca02cc984b46a976f0bdbe76549dc255a1ed8fc26b971c77f8ca8177a9447656
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