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:
- 3eb5e19ee6d09e0c83409e3a39908d146f689c479fe767feed195d0dd8627fd1
- Size of remote file:
- 64.1 MB
- SHA256:
- 1d7f97c0c929927e96270ae630283c85ca64d084b38f4e45fcfaac0d14ef0ea1
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