Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use darjeesr/sentiment-analysis-autotrain-new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darjeesr/sentiment-analysis-autotrain-new with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="darjeesr/sentiment-analysis-autotrain-new")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("darjeesr/sentiment-analysis-autotrain-new") model = AutoModelForSequenceClassification.from_pretrained("darjeesr/sentiment-analysis-autotrain-new") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.6778494119644165
f1_macro: 0.7588549694725253
f1_micro: 0.76
f1_weighted: 0.7588549694725252
precision_macro: 0.7586190285026095
precision_micro: 0.76
precision_weighted: 0.7586190285026094
recall_macro: 0.7599999999999999
recall_micro: 0.76
recall_weighted: 0.76
accuracy: 0.76
- Downloads last month
- 18
Model tree for darjeesr/sentiment-analysis-autotrain-new
Base model
google-bert/bert-base-uncased