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:
- 62ef1e0f3c75d944261db43a70ce02513473632c4a67fd6808dc98869f2209c7
- Size of remote file:
- 32.1 MB
- SHA256:
- d427411225917137992c8e0fbd4eb7182c9d3ebcdc3822abde884441fb083b5e
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