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:
- 3cfb0a5fa7d96a3256685c32ca89094126541da6522c4cdc12e71b0938cf3363
- Size of remote file:
- 32.1 MB
- SHA256:
- d7b8833c322a20a9006751364ee10347395ddd300342d2b8e703c613b61682d0
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