Instructions to use kwoncho/ko-sroberta-multitask-informative with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kwoncho/ko-sroberta-multitask-informative with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kwoncho/ko-sroberta-multitask-informative")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kwoncho/ko-sroberta-multitask-informative") model = AutoModelForSequenceClassification.from_pretrained("kwoncho/ko-sroberta-multitask-informative") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa641ecd7b0333bf1d85b08bc1d74ba7360f82dc4f816e91715bca2882eb1451
- Size of remote file:
- 443 MB
- SHA256:
- 539eb866f1c6b32a5473feef7540c48af2ff12678545db7f68f920920926da77
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