Instructions to use GeethmaYasashwi/mt5-sinhala-final-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeethmaYasashwi/mt5-sinhala-final-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("GeethmaYasashwi/mt5-sinhala-final-v2") model = AutoModelForSeq2SeqLM.from_pretrained("GeethmaYasashwi/mt5-sinhala-final-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6ca0c98642bf725d1f992a7de3af47152b99ec58f2596172086bd01f2e2c923
- Size of remote file:
- 16 MB
- SHA256:
- b31adff76c33d263bf238da902695ba9b6223cb55e8195c580fe56d48077a2c5
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