Instructions to use shahidul034/error_correction_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shahidul034/error_correction_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shahidul034/error_correction_model") model = AutoModelForSeq2SeqLM.from_pretrained("shahidul034/error_correction_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3578361b65a70bb98894374fcbb40921afbd75d9d66dd925c7bd3dc1a9f6fcd3
- Size of remote file:
- 307 MB
- SHA256:
- 7bfe0106e336ff3a84a0aedb66805b2adaf37e21d9542f830e429177d39b6577
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