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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shahidul034/error_correction_model") model = AutoModelForSeq2SeqLM.from_pretrained("shahidul034/error_correction_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from shahidul034/error_correction_model: direct link, hf CLI and curl.
- Browser
- Download file 307 MB
-
https://huggingface.co/shahidul034/error_correction_model/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://shahidul034/error_correction_model@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/shahidul034/error_correction_model/resolve/refs%2Fpr%2F1/pytorch_model.bin
307 MB
- Xet hash:
- 3578361b65a70bb98894374fcbb40921afbd75d9d66dd925c7bd3dc1a9f6fcd3
- Size of remote file:
- 307 MB
- SHA256:
- 7bfe0106e336ff3a84a0aedb66805b2adaf37e21d9542f830e429177d39b6577
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