Instructions to use 9wimu9/bart-sinhala-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 9wimu9/bart-sinhala-all with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("9wimu9/bart-sinhala-all") model = AutoModelForSeq2SeqLM.from_pretrained("9wimu9/bart-sinhala-all") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f790b96982d7263cf9cc517fae8d293e21eebe201640d116c568ee939d6fdf8
- Size of remote file:
- 662 MB
- SHA256:
- be675df777e9d45d1ef518a86c53f8e46d5ce8443a0269048e35243752ec51f1
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