Instructions to use tingchih/pretrain_doc_concat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tingchih/pretrain_doc_concat with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tingchih/pretrain_doc_concat") model = AutoModelForSeq2SeqLM.from_pretrained("tingchih/pretrain_doc_concat") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
This is a pre-train baseline model for summarization. Input is to concatenate all articles in one cluster. the example.json is the example result.
pipeline: input -> sum tokenizer -> perceiver -> sum model -> summary
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