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:
- a6982d55c81538a5e6cb729916b472d04be151ffd78b2e57125b742b9bb0413c
- Size of remote file:
- 32.1 MB
- SHA256:
- d2c8b5c1fac07cef9fea699f25a1829989082c258f3a35ea95dfdbe3fae6b552
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