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:
- 6f0b499fc367bca69d6087446696ec705db28a7099802731a3959326b5a2e9b8
- Size of remote file:
- 3.71 kB
- SHA256:
- b0413397f351779dc3eb1a10fae5091f14a4dc475b25cb11fad75b557e43c1f7
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