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:
- 497be7a7d7c74594dc1e4e1fa4b2b5efd0816a104381fe0a9c4f469d9ec21eac
- Size of remote file:
- 32.1 MB
- SHA256:
- b483d0fe61c1931c7aa163721a1af8702e0197563806696aa16a3bf2591e2929
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