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:
- a31b038ca5ac893897a6a3dfe77d972ddfa2678c3b897990c56bd65cdfbb4806
- Size of remote file:
- 64.1 MB
- SHA256:
- 1a8b8c901860e108e4e3f7a2fe1f213e10a3561621f05c4a41d82942d73d3a49
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