Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Trained with AutoTrain
text-embeddings-inference
Instructions to use karacankos/autotrain-sh-defect-data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karacankos/autotrain-sh-defect-data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karacankos/autotrain-sh-defect-data")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karacankos/autotrain-sh-defect-data") model = AutoModelForSequenceClassification.from_pretrained("karacankos/autotrain-sh-defect-data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 1.785814642906189
f1_macro: 0.13095238095238096
f1_micro: 0.25
f1_weighted: 0.1607142857142857
precision_macro: 0.1111111111111111
precision_micro: 0.25
precision_weighted: 0.14583333333333334
recall_macro: 0.25
recall_micro: 0.25
recall_weighted: 0.25
accuracy: 0.25
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Model tree for karacankos/autotrain-sh-defect-data
Base model
distilbert/distilbert-base-cased