Instructions to use murali1996/bert-base-cased-spell-correction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use murali1996/bert-base-cased-spell-correction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="murali1996/bert-base-cased-spell-correction")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("murali1996/bert-base-cased-spell-correction") model = AutoModel.from_pretrained("murali1996/bert-base-cased-spell-correction") - Notebooks
- Google Colab
- Kaggle
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