Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Trained with AutoTrain
text-embeddings-inference
Instructions to use Akirk1213/review-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Akirk1213/review-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Akirk1213/review-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Akirk1213/review-classification") model = AutoModelForSequenceClassification.from_pretrained("Akirk1213/review-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.06958044320344925
f1_macro: 0.6982353583280398
f1_micro: 0.9893837987537503
f1_weighted: 0.9890576179809372
precision_macro: 0.7292453680871451
precision_micro: 0.9893837987537503
precision_weighted: 0.9890439507317232
recall_macro: 0.674776728288434
recall_micro: 0.9893837987537503
recall_weighted: 0.9893837987537503
accuracy: 0.9893837987537503
- Downloads last month
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Model tree for Akirk1213/review-classification
Base model
microsoft/deberta-v3-base