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:
- e3b1dcec23bd89e2a5793b2c6bd8bd544b0c34a5aa0d1f393d1a709f0b2d0be1
- Size of remote file:
- 64.1 MB
- SHA256:
- 0771b8ef01b91858a02b90e8588c6448bb25023e60988b91a0384bf8571cc7cc
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