Instructions to use BlackKakapo/t5-small-grammar-ro-root with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BlackKakapo/t5-small-grammar-ro-root with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BlackKakapo/t5-small-grammar-ro-root") model = AutoModelForSeq2SeqLM.from_pretrained("BlackKakapo/t5-small-grammar-ro-root") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c01b287c2adcebb9cf4717bcecbba2e8edcc897fcfaf0c26f5103a1db1b1b9b2
- Size of remote file:
- 892 MB
- SHA256:
- 8159e2a086833dcc761cc86a3db0ceb1be3e55e0bc537e5c2e9684b630730393
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