Instructions to use optimum-internal-testing/tiny-random-mt5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use optimum-internal-testing/tiny-random-mt5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("optimum-internal-testing/tiny-random-mt5") model = AutoModelForSeq2SeqLM.from_pretrained("optimum-internal-testing/tiny-random-mt5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74433e842980947c6ced07935f9dd98bd7d037d3a07cf6c648dacfa876f343ce
- Size of remote file:
- 32.8 MB
- SHA256:
- a0ed3564b1a08fdf05564a30671fad671d89ca05965ab58d56716e5bfee1a3ca
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