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:
- 5a0f8a29db23badbd022385715a9e9cf69d98a6b09cb7c2b350e58b75798b206
- Size of remote file:
- 32.1 MB
- SHA256:
- 8943bb5aab5c10e27ae6f24af7b960907114ae1cd06fe32a7566773da42bb2fe
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