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:
- ed023aa9b3604d1dd487da7d68f6f6b9e4aa3888ca790bfa1a5d5e22b17b12f6
- Size of remote file:
- 64.1 MB
- SHA256:
- 1a1a7a6593dea2ca44dca5f971976b29ff3b1cf87dfbfef2e52bfd562c7aa452
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