Instructions to use qBob/BART_corrector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qBob/BART_corrector with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("qBob/BART_corrector") model = AutoModelForSeq2SeqLM.from_pretrained("qBob/BART_corrector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from qBob/BART_corrector: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/qBob/BART_corrector/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://qBob/BART_corrector/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/qBob/BART_corrector/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 444d5b4309eed9fdf598875e8f474014fe3fe6c0a140ce44c8ccaee53279029c
- Size of remote file:
- 558 MB
- SHA256:
- 3a600a8e3453bfa71c22fadcc3f1bb4a16a14c63a28bf487972ef6ffbd8413e3
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