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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8715b5d3b1c8668519716fa95488d6d2401521d337ab64db072caa790972b1ef
- Size of remote file:
- 32.1 MB
- SHA256:
- 218ea759a1ac5a276bb732a99ad3db65367eaed45a890323a84ecbfadc43e7a1
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