Instructions to use MM98/mt5-small-finetuned-pnsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MM98/mt5-small-finetuned-pnsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MM98/mt5-small-finetuned-pnsum") model = AutoModelForSeq2SeqLM.from_pretrained("MM98/mt5-small-finetuned-pnsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0824ecdad8242c67b49c76a952e0bc4de62b7c89881354dc61304d9bf5311771
- Size of remote file:
- 16.3 MB
- SHA256:
- d15b59d404d29e41d3eddebcd213b00395e140bf9493419c646b0c74647efbea
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