Instructions to use obss/bsm-pegasus-xsum-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use obss/bsm-pegasus-xsum-multi with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("obss/bsm-pegasus-xsum-multi") model = AutoModelForSeq2SeqLM.from_pretrained("obss/bsm-pegasus-xsum-multi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from obss/bsm-pegasus-xsum-multi: direct link, hf CLI and curl.
- Browser
- Download file 2.28 GB
-
https://huggingface.co/obss/bsm-pegasus-xsum-multi/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://obss/bsm-pegasus-xsum-multi/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/obss/bsm-pegasus-xsum-multi/resolve/main/pytorch_model.bin
2.28 GB
- Xet hash:
- ab9ad2819a6cefc2b42c852ed5e53e2585dfe9312acc37909508787fdfe70137
- Size of remote file:
- 2.28 GB
- SHA256:
- ed9d0abb4543ea6e656044696f68da7a2e61f0a65a084393295611ad0d526eff
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