Instructions to use yubinH/summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yubinH/summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yubinH/summarization") model = AutoModelForSeq2SeqLM.from_pretrained("yubinH/summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e202a557d0e3adb4e13bd15833450f1724bf3e244e568834787c962c44c7fe61
- Size of remote file:
- 16.3 MB
- SHA256:
- 7199e83e153d1f1929ee942fc12e52a16e5b8bd6810edaa450db206cf2c5726b
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