Instructions to use happy06/KcELECTRA-small-v2022-SequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use happy06/KcELECTRA-small-v2022-SequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="happy06/KcELECTRA-small-v2022-SequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("happy06/KcELECTRA-small-v2022-SequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("happy06/KcELECTRA-small-v2022-SequenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57326449498cc60d1119cf181ccaf280fea60b657ef57daa473fc8b4548e1791
- Size of remote file:
- 66.5 MB
- SHA256:
- 08270e057ef90c7031e856e8265db79cc8290f6983dd88f01e94777612b98461
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