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:
- f3fa8f28dda811d5161720f27d4435da5efc8606cfda67ceadc623af20046a0d
- Size of remote file:
- 64.1 MB
- SHA256:
- 77d4e1fb9da51441a6af5b41469bb34df8234ff8b76c5c97c529790b200e108d
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