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:
- 529b6e1093d26b65f5d8ff1b7608150109da59a8c3a7f5e0d3bc9e49812c7695
- Size of remote file:
- 64.1 MB
- SHA256:
- bcc85bdb651fd812eca2891ec6ede4431754b81dc28b066ffe87931bed34c01f
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