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:
- 769f8a089daff4244147e15223f7b1a6071d4eefccfed6fcf36b21eb3e725edd
- Size of remote file:
- 32.1 MB
- SHA256:
- fda8578931403d79d82b2991ebc5e1a764a9d06fd54b31820105def58bd778e0
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