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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21c0e17700d4e93bcafcc8fb26f8f5a9b7111c5253683d47e2d8ca4660bc7c5a
- Size of remote file:
- 64.1 MB
- SHA256:
- ac34005f9034835a683203e3f1e96083a6e2f76fe8229c34a949382d062de94c
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