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:
- af264cbe5ff403a6358a4c2c92a69b6c4feacfda0379dcb88f2b27c0b6a9bdcd
- Size of remote file:
- 64.1 MB
- SHA256:
- 0238e8a926f5435307756fbc9ace10bf7c90c1a54c550a3cc488dee522623d3f
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