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:
- 0d8215e31cfdbc02e941bc64fd2198cd2e98a317e77e38463d6c3a057e475558
- Size of remote file:
- 32.3 MB
- SHA256:
- df6af64a83d86774eaa55f733c0656043b84c69ed1ca4771a4b9639c3147b023
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