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:
- 867cdf454d7a4374a23f12ab05108b3935382c11dd560b3ab1aad21d3f05ba95
- Size of remote file:
- 32.1 MB
- SHA256:
- dced8c96ebaa0a6a337cc1cccd7dd116977822a7a7b6c5ba76026960a870d495
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