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:
- 7451f63896df80527a459a46d1935c6a2585dfcad8ccbb48f8e57d23f972a860
- Size of remote file:
- 64.1 MB
- SHA256:
- 5f1b81d0e5e765a51efe92662766bee9ce7e0bd8c425095fd56562e25ba169f5
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