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:
- 4f0aad33d6f8c393bcb42118630f93ad5abbeb6deb94740d0d8fb2f533c50897
- Size of remote file:
- 64.1 MB
- SHA256:
- 43180eac12524e188c9157a015e109c5fb607c6f8aaaca54140ce7a881aa93c6
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