Instructions to use PSW/bart-base-xsum-seed42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PSW/bart-base-xsum-seed42 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PSW/bart-base-xsum-seed42") model = AutoModelForSeq2SeqLM.from_pretrained("PSW/bart-base-xsum-seed42", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PSW/bart-base-xsum-seed42: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/PSW/bart-base-xsum-seed42/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://PSW/bart-base-xsum-seed42/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PSW/bart-base-xsum-seed42/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- d442dae1ad2c8e8da3f180765b0d09e4f43bb470c69bf1fb1d5da4fedadc4945
- Size of remote file:
- 558 MB
- SHA256:
- f12ca60eef3dc0f8e9260171990b38a766097bb1d1f631396c6b459820616931
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