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:
- b22d0c53dca3233e0f6192d7e22df1ad029da90beade7645176b0777d6c00b5e
- Size of remote file:
- 64.1 MB
- SHA256:
- 70836343b52d64679914a4e999e78bd2db49f93c3f318b8589ff2e396c39d3d3
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