Instructions to use pinglarin/summarization_papers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pinglarin/summarization_papers with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pinglarin/summarization_papers") model = AutoModelForSeq2SeqLM.from_pretrained("pinglarin/summarization_papers", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d4fc4eb3e6c8728382a744c8af8e829f86b790979e4d5e552db02d8d5414165
- Size of remote file:
- 886 MB
- SHA256:
- 62a8f1fb574cd567297d24fdb381d588c35fe715a9bbe3464aadf94703f695ba
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