Instructions to use mahfooz/dhivehi-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mahfooz/dhivehi-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mahfooz/dhivehi-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mahfooz/dhivehi-roberta-base") model = AutoModelForMaskedLM.from_pretrained("mahfooz/dhivehi-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdbe03f7a31010816b33f28e9be469774060fee6a9a79e82dc7856b7adf498f1
- Size of remote file:
- 499 MB
- SHA256:
- e2c078eb24c350db20fabde64bb19ab527352b2d3e1bdf80788712582070f916
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