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:
- b0828af651dd37adc870d12c72ee158b8987aac63f30be134b76cb7813da8fce
- Size of remote file:
- 32.1 MB
- SHA256:
- 67eb1d37fa52a63a3a8bfa25bc7b0338a51013e0bf0b346738fb7958ce7c07c2
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