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:
- 953c5db6b342d2cb4bb0d830352b88cb967bdce1f19be11ed8c0219e7b17413a
- Size of remote file:
- 64.1 MB
- SHA256:
- 0ccf81485336ffdd5baaa4f61784f3b783ba7add59844fa42b9b49cc8d69b9b4
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