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:
- 0d4249e466ef32ea0d4cb792c07e006f6f6e74d7560d553acdca7942ab5ec4d1
- Size of remote file:
- 64.1 MB
- SHA256:
- 343202de78b9fb4c637a5da57b10ef5232f39a64fb8e215ebf6d89a3f5dabfce
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