Instructions to use happy06/KcELECTRA-base-v2022-SequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use happy06/KcELECTRA-base-v2022-SequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="happy06/KcELECTRA-base-v2022-SequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("happy06/KcELECTRA-base-v2022-SequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("happy06/KcELECTRA-base-v2022-SequenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1f4b51111ee2923da764d26602398ff4fc0eccdd16d4c540241145778cbca7c
- Size of remote file:
- 511 MB
- SHA256:
- 4455d5a9d398039e85fa76349886022a391edddb045893692e25063af1ef87a4
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