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:
- 2f4863e3f8865db540a5e37fade837efaee483880ad15128461323919c37d8ea
- Size of remote file:
- 32.1 MB
- SHA256:
- 50e9ef7e61af675244ac4ab459e72afb64312823b14966e9ff0b14cff9dc06b2
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