Instructions to use hf-internal-testing/tiny-random-mt5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-mt5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-mt5")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-mt5") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-mt5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06f33329190cbe9795f59ac05146681a486f5577824b0e4602fa57b3b5979c1d
- Size of remote file:
- 689 MB
- SHA256:
- 009629efdc0a0c15300daa80d6b7249562ac9887a2448f92fdbf17e94ee61d60
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