Instructions to use jxchlee/koelectra-base-summarization1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jxchlee/koelectra-base-summarization1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jxchlee/koelectra-base-summarization1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jxchlee/koelectra-base-summarization1") model = AutoModelForSequenceClassification.from_pretrained("jxchlee/koelectra-base-summarization1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd2855de22af7b1f5629d93a3b193e79c420ea016c5e9ca9fc1bcaf104c0978d
- Size of remote file:
- 452 MB
- SHA256:
- 1d85dbbec004f24e367a81f6e63637153002d7326997aea6ff253028d835ef53
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