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:
- a4eabcae00ded29477b4673820cb31f62e82ed1fd757bb7074081644a18ed0e3
- Size of remote file:
- 32.1 MB
- SHA256:
- e5975dfdd27740aaeac86269c6fbca563cb4867e6ef61bede42378a2c949336b
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