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:
- 51bd1d05cff41d3508311b7affcfef3f028af27de5e553e48a41de1cc62d8b0f
- Size of remote file:
- 32.1 MB
- SHA256:
- 40397c875ba9e7f96047b5088abee7fd086520b50a25931fe63b67c19da2176b
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