Instructions to use keshan/sinhala-roberta-mc4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keshan/sinhala-roberta-mc4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="keshan/sinhala-roberta-mc4")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("keshan/sinhala-roberta-mc4") model = AutoModelForMaskedLM.from_pretrained("keshan/sinhala-roberta-mc4") - Notebooks
- Google Colab
- Kaggle
File size: 239 Bytes
87830cc | 1 | {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}} |