Instructions to use ksabeh/roberta-base-attribute-correction-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ksabeh/roberta-base-attribute-correction-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ksabeh/roberta-base-attribute-correction-mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ksabeh/roberta-base-attribute-correction-mlm") model = AutoModelForQuestionAnswering.from_pretrained("ksabeh/roberta-base-attribute-correction-mlm") - Notebooks
- Google Colab
- Kaggle
End of training
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