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:
- e2aa184dfaa21ccb2bdb28ce1543213f01f795a9afbb4be466bf034ed9edca4e
- Size of remote file:
- 32.1 MB
- SHA256:
- 1c9aec40aed6a4c2a539a10fe7219ad3d7758e668f67ffe5ef1dcf2d2564dd7f
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