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:
- bb64ae9d00094a1360f1bf970a0156f4af5eaf3c7e441cceb00e80b41fb06d97
- Size of remote file:
- 64.1 MB
- SHA256:
- 3f07ef42cbc25ecabae76fa26852e0d53121f303876c27d4b09181a254f47160
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