Instructions to use Ransaka/SinhalaRoberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ransaka/SinhalaRoberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Ransaka/SinhalaRoberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Ransaka/SinhalaRoberta") model = AutoModelForMaskedLM.from_pretrained("Ransaka/SinhalaRoberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 15000
Browse files
pytorch_model.bin
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runs/Mar29_08-06-14_f35cc5b9eaf9/events.out.tfevents.1680077266.f35cc5b9eaf9.23.0
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