Instructions to use uclanlp/plbart-single_task-interpreted-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-single_task-interpreted-summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-single_task-interpreted-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-single_task-interpreted-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from uclanlp/plbart-single_task-interpreted-summarization: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/uclanlp/plbart-single_task-interpreted-summarization/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://uclanlp/plbart-single_task-interpreted-summarization/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/uclanlp/plbart-single_task-interpreted-summarization/resolve/main/pytorch_model.bin
557 MB
- Xet hash:
- d101ebfb48325e89caccb8a70ac272b1c614a19f07ac87871b71306d644d380f
- Size of remote file:
- 557 MB
- SHA256:
- b05a8f453bb91b1302aadc91ca051ad94c24af15e4f5dfe34ac47f9314aafcd9
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