Instructions to use keshan/sinhala-t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keshan/sinhala-t5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("keshan/sinhala-t5-small") model = AutoModelForSeq2SeqLM.from_pretrained("keshan/sinhala-t5-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19f079a1d8fbfd241602d384bf439b4d9d64222b2c6bcc48ec21c5f3b3c88b96
- Size of remote file:
- 242 MB
- SHA256:
- 17f96ffb060c3fe92ee92adcaf994d9bf4bdf5811e8d3d2d863e6ca881f39f25
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