Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use CBY0517/tw-cn-context-classifier-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CBY0517/tw-cn-context-classifier-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CBY0517/tw-cn-context-classifier-v3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CBY0517/tw-cn-context-classifier-v3") model = AutoModelForSequenceClassification.from_pretrained("CBY0517/tw-cn-context-classifier-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| library_name: transformers | |
| tags: | |
| - autotrain | |
| - text-classification | |
| base_model: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 | |
| widget: | |
| - text: "I love AutoTrain" | |
| # Model Trained Using AutoTrain | |
| - Problem type: Text Classification | |
| ## Validation Metrics | |
| loss: 0.46941229701042175 | |
| f1: 0.7916003818008273 | |
| precision: 0.7571515520389531 | |
| recall: 0.8293333333333334 | |
| auc: 0.8775777632153778 | |
| accuracy: 0.7835426305353602 | |