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:
- 082c9987e3961dce059a3426d3e973683fa9508a416241fd04d30637a81a35c8
- Size of remote file:
- 32.1 MB
- SHA256:
- b7bd4bbca591fe9e42653f07b3241e2707c4ef60d1a5c5087a582a04e91e11fa
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