Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use PeikaFizzy/autotrain-cz2d3-ocq3i with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PeikaFizzy/autotrain-cz2d3-ocq3i with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PeikaFizzy/autotrain-cz2d3-ocq3i")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PeikaFizzy/autotrain-cz2d3-ocq3i") model = AutoModelForSequenceClassification.from_pretrained("PeikaFizzy/autotrain-cz2d3-ocq3i") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.8178332448005676
f1_macro: 0.5555555555555555
f1_micro: 0.6666666666666666
f1_weighted: 0.5555555555555555
precision_macro: 0.5
precision_micro: 0.6666666666666666
precision_weighted: 0.5
recall_macro: 0.6666666666666666
recall_micro: 0.6666666666666666
recall_weighted: 0.6666666666666666
accuracy: 0.6666666666666666
- Downloads last month
- 11
Model tree for PeikaFizzy/autotrain-cz2d3-ocq3i
Base model
google-bert/bert-base-chinese