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:
- 5fe41ac05f93eb5d7c785388fa797d72b967c9214f177e193e709fa6fa2b2e09
- Size of remote file:
- 64.1 MB
- SHA256:
- 5f0b86d5e8df92ff38053c6efc1520da151a98fe26405c3143231f2769785a09
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