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:
- c41349cc499023028180704718d6d784d92ec9eb8696e5a61059595a41b3c63f
- Size of remote file:
- 32.1 MB
- SHA256:
- 6517a9479e581fdd14e477166f5d3edfc4b4a96a92325bb1c1bea90d5d3d26bc
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