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:
- 03f185d931812bb844da51ad6facd2a333376a05ae0dad7f1eaa2e874aa54790
- Size of remote file:
- 32.2 MB
- SHA256:
- c19a214304faa2ab55421fe41dd438ffd54da5fa1044a1ce84a6d73551cb054a
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