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:
- 34a78a49b614145fde2e27753ca49746d83da289b189dde62a5bd4d2011aa5b8
- Size of remote file:
- 64.1 MB
- SHA256:
- c4f4ec4868f7fbf4a2cbfd44eb15df805240b1a70ac7917ea5981344bfbb8bfe
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