Instructions to use qBob/BART_corrector_15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qBob/BART_corrector_15 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("qBob/BART_corrector_15") model = AutoModelForSeq2SeqLM.from_pretrained("qBob/BART_corrector_15", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from qBob/BART_corrector_15: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/qBob/BART_corrector_15/resolve/main/training_args.bin
- Command line
-
hf download hf://qBob/BART_corrector_15/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/qBob/BART_corrector_15/resolve/main/training_args.bin
3.44 kB
- Xet hash:
- 2eeeb01247ce823c11d65decff4c16e0d41d03f4102e45d624bb0bb2d5ab7762
- Size of remote file:
- 3.44 kB
- SHA256:
- 42e5ef17ed1e0656f9f225a3fba88662d58f914cfef9ac9ddf040aa7369659e3
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