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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c6e3fef18f94570ba965e7795fc194e06429a9671649e36f0e5ea754ccc003d
- Size of remote file:
- 64.1 MB
- SHA256:
- 6ed41f5dc56a893bbe3322da5644bd33395ce3a65beeab98d156d42f16d49d52
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