Instructions to use PSW/bart-base-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PSW/bart-base-samsum with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PSW/bart-base-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("PSW/bart-base-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PSW/bart-base-samsum: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/PSW/bart-base-samsum/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://PSW/bart-base-samsum/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PSW/bart-base-samsum/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 5903a5ce461af5a48eb155110e7dbc6e3816f08f6f9c4f66d9d031ce67f196fe
- Size of remote file:
- 558 MB
- SHA256:
- e85eee7398b8bed9e0aaec164206bbb46d4c2e5fe288399f6d960cda8e833897
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