Instructions to use PSW/bart-base-mediasum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PSW/bart-base-mediasum with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PSW/bart-base-mediasum") model = AutoModelForSeq2SeqLM.from_pretrained("PSW/bart-base-mediasum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PSW/bart-base-mediasum: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/PSW/bart-base-mediasum/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://PSW/bart-base-mediasum/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PSW/bart-base-mediasum/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 638d61df430da7aec1622cc3217a54329334c4031a4c7b193e19c55de295a272
- Size of remote file:
- 558 MB
- SHA256:
- cbffe2ee53eeaaf6241bbc97a235ac449556f6a03e53ffcf0b530fef27ed74ca
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