Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use CBY0517/tw-cn-context-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CBY0517/tw-cn-context-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CBY0517/tw-cn-context-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CBY0517/tw-cn-context-classifier") model = AutoModelForSequenceClassification.from_pretrained("CBY0517/tw-cn-context-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46e54eb6cd488df1aa1b8e8e795e0485c4d22e5907f7b864ed985a1747534aeb
- Size of remote file:
- 818 MB
- SHA256:
- 349fae2f5d056b0e344af2b20429bdd6ff0f5c58c34bb0e86ed53ba65d7ec697
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