Instructions to use Sooyeon03/autotrain-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sooyeon03/autotrain-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sooyeon03/autotrain-sentiment-analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sooyeon03/autotrain-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("Sooyeon03/autotrain-sentiment-analysis") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.6811079382896423
f1_macro: 0.27878787878787875
f1_micro: 0.71875
f1_weighted: 0.6011363636363636
precision_macro: 0.23958333333333334
precision_micro: 0.71875
precision_weighted: 0.5166015625
recall_macro: 0.3333333333333333
recall_micro: 0.71875
recall_weighted: 0.71875
accuracy: 0.71875
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Model tree for Sooyeon03/autotrain-sentiment-analysis
Base model
beomi/KcELECTRA-base