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:
- 346e12f93d32111bd0b869726bb31bbe05192ac463e4e35059ab829f7fbe0134
- Size of remote file:
- 64.1 MB
- SHA256:
- 6bf5391c6140ae29d2d47c72d0a0df6ebe32a71a28c06640e75f41f2fa8f8d71
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