Instructions to use flax-community/Sinhala-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/Sinhala-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="flax-community/Sinhala-roberta")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("flax-community/Sinhala-roberta") model = AutoModel.from_pretrained("flax-community/Sinhala-roberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ceeae263d0a3f31651c4b175611fb0246e1236972da008a77375e65208862a31
- Size of remote file:
- 499 MB
- SHA256:
- 0ae1d1d3c2f00db285c5d8f3175bf3ba9d8dab8af351d8f41462124f144e8be9
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