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:
- 333470eb4dcd9ba782baaec2474d2f08b69bdb5383eb8eb3bd354033bf5bb01f
- Size of remote file:
- 32.1 MB
- SHA256:
- d92dee873c751a047709632e484f644730024ffa8044ff32b8a14cba102ee28f
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