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:
- 4442c515e356d43e11f32f9f7e2e9fca7e1972279a4736c7fcc7fa95cfe32023
- Size of remote file:
- 64.1 MB
- SHA256:
- a5d0041ae69103681396ba0cf6da39e6552663e686279d7a251ed83fcb69b8e7
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