Instructions to use PSW/bart-large-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PSW/bart-large-samsum with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PSW/bart-large-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("PSW/bart-large-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PSW/bart-large-samsum: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/PSW/bart-large-samsum/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://PSW/bart-large-samsum/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PSW/bart-large-samsum/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 77fe9443dfe54dedf14bf13b0c3429c960d3b1ccfd7223536f88ef0a4edbdb33
- Size of remote file:
- 1.63 GB
- SHA256:
- d0e8398be472bd86cd7c33a3e49c8c37ed44ba3652ac877eb2108b8fadabb104
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