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:
- e55e37ee113e7be108d98da02c656653aa200f46d58302466afc52b29be72d8f
- Size of remote file:
- 32.1 MB
- SHA256:
- d6fbc4d7b1d0ae1c448274a6f1bb9cf6b33d63fbe46d72fdcf19e5b23a9d8aad
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