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 training_args.bin from qBob/BART_corrector: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/qBob/BART_corrector/resolve/main/training_args.bin
- Command line
-
hf download hf://qBob/BART_corrector/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/qBob/BART_corrector/resolve/main/training_args.bin
3.44 kB
- Xet hash:
- 72fdd8a016bffa5be360a53b49cfebf5226aad32c16f90bef7cd7f08d9b62327
- Size of remote file:
- 3.44 kB
- SHA256:
- a4e19464f52ce90bbee337be7af121eacbe484d2e2c936bb5c3f2816140337dd
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