Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use Sunduj/autotrain-wl3z5-ps8fz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sunduj/autotrain-wl3z5-ps8fz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sunduj/autotrain-wl3z5-ps8fz")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sunduj/autotrain-wl3z5-ps8fz") model = AutoModelForSequenceClassification.from_pretrained("Sunduj/autotrain-wl3z5-ps8fz", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 1.7491978406906128
f1_macro: 0.5238095238095238
f1_micro: 0.5714285714285714
f1_weighted: 0.5238095238095238
precision_macro: 0.5
precision_micro: 0.5714285714285714
precision_weighted: 0.5
recall_macro: 0.5714285714285714
recall_micro: 0.5714285714285714
recall_weighted: 0.5714285714285714
accuracy: 0.5714285714285714
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Model tree for Sunduj/autotrain-wl3z5-ps8fz
Base model
google-bert/bert-base-uncased