Instructions to use stas/mt5-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stas/mt5-tiny-random with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("stas/mt5-tiny-random") model = AutoModelForSeq2SeqLM.from_pretrained("stas/mt5-tiny-random") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f8a8a8b7c63181e64bdc28d1c4345028bab786662c206f94ec841b5c5f20264
- Size of remote file:
- 313 kB
- SHA256:
- 6859b5aa593827a9593cc7c313eb5bc86444a971387dae19ae4a3d2ba389bbae
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