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:
- f0ff73d25fe2709bf7f5899c057b4df7cf6a48849d9b544806f9754e26516a30
- Size of remote file:
- 64.1 MB
- SHA256:
- 22484492eb39216886353523d8538f6114b880f74bfb9eaa3b0dfd18fba8615f
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