Instructions to use paulh27/wmt_aligned_smallmT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulh27/wmt_aligned_smallmT5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("paulh27/wmt_aligned_smallmT5") model = AutoModelForSeq2SeqLM.from_pretrained("paulh27/wmt_aligned_smallmT5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc2dadcb0239ce6ee5f533db15fce48673dd406576db2a663dec05d8a9b8fb11
- Size of remote file:
- 1.2 GB
- SHA256:
- a83af60f81dbca0ed2d63e516c56676499e7673a6fb444922731aaea8caa6fbe
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