Instructions to use Astonzzh/bart-augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Astonzzh/bart-augmented with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Astonzzh/bart-augmented") model = AutoModelForSeq2SeqLM.from_pretrained("Astonzzh/bart-augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Astonzzh/bart-augmented: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/Astonzzh/bart-augmented/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Astonzzh/bart-augmented/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Astonzzh/bart-augmented/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- b01b7ba172b67969c58918408c7c8096d7387e4ab8fe1895dd297e40e6d6076c
- Size of remote file:
- 1.63 GB
- SHA256:
- 4c523231db0ad1184c10486844e81dd11cf25dc9d8f89f2ee129f75c57e669a8
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