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:
- 22fab83daf95813074c5d833b2e9f54fae9365b03d054e602f1747f940b35438
- Size of remote file:
- 32.1 MB
- SHA256:
- 2107f64554f5b8f2994878496a2baa916a3ded60c4d81938bd08d0d5631ac96a
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