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:
- 5dec666d209d212e339e58493ed83afa46a83cc87efc63a57f5a2005de13690f
- Size of remote file:
- 1.2 GB
- SHA256:
- 58bfba2504d527bdbab15497b616ee0b5bafc9c2760a1a814e108483d4c5c184
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