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:
- 7286a3d796960026658dcd07ffd1e1eb94d786032caaaabe8eaeb3d0ca7e02b8
- Size of remote file:
- 64.1 MB
- SHA256:
- b9189a4b01ab81c57b11bc4ed3dc23911fbc9e24d5340c41badcda2ec4b9554e
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