Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use ColinYuBin/autotrain-c3b68-0tdyf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ColinYuBin/autotrain-c3b68-0tdyf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ColinYuBin/autotrain-c3b68-0tdyf")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ColinYuBin/autotrain-c3b68-0tdyf") model = AutoModelForSequenceClassification.from_pretrained("ColinYuBin/autotrain-c3b68-0tdyf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 1.2190489768981934
f1_macro: 0.6666666666666666
f1_micro: 0.75
f1_weighted: 0.6666666666666666
precision_macro: 0.625
precision_micro: 0.75
precision_weighted: 0.625
recall_macro: 0.75
recall_micro: 0.75
recall_weighted: 0.75
accuracy: 0.75
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Model tree for ColinYuBin/autotrain-c3b68-0tdyf
Base model
google-bert/bert-base-uncased