Instructions to use 9wimu9/bart-sinhala-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 9wimu9/bart-sinhala-v3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("9wimu9/bart-sinhala-v3") model = AutoModelForSeq2SeqLM.from_pretrained("9wimu9/bart-sinhala-v3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da2eeaa2473951cfe3a249d957a0ef81285bc7e304a3d6037c054c45dc5763a5
- Size of remote file:
- 662 MB
- SHA256:
- 0126c42182c8ec60ab8c0cfc5566e75bfe6735ad7d4b029d34204098d874724e
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