Instructions to use Varshitha/Unredactor_BART with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Varshitha/Unredactor_BART with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Varshitha/Unredactor_BART") model = AutoModelForSeq2SeqLM.from_pretrained("Varshitha/Unredactor_BART", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Varshitha/Unredactor_BART: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/Varshitha/Unredactor_BART/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://Varshitha/Unredactor_BART@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Varshitha/Unredactor_BART/resolve/refs%2Fpr%2F1/pytorch_model.bin
558 MB
- Xet hash:
- d9c6e7a4b35fdfd34ad204be944618a6007f550e81c74d1822624e58a2eda59f
- Size of remote file:
- 558 MB
- SHA256:
- 12725d33ec6af75f6660f5b2485cd5cd07221878a6e3b559cad82f9f36ce7561
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