Instructions to use xy4286/yang-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xy4286/yang-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("xy4286/yang-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("xy4286/yang-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f5a8b1662917f993a4f9d422f0cb12277da808337f11c8c3b2916e67b000e0c
- Size of remote file:
- 5.11 kB
- SHA256:
- a1e64b510a44bf358e718b181ce7f40339cb792526264446bf53d69d34795f9a
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