Text Classification
Transformers
PyTorch
Chinese
bert
Argument_Type_Bert
zh-tw
Generated from Trainer
text-embeddings-inference
Instructions to use theta/Argument_Type_Bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use theta/Argument_Type_Bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="theta/Argument_Type_Bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("theta/Argument_Type_Bert") model = AutoModelForSequenceClassification.from_pretrained("theta/Argument_Type_Bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc2b03f131c079d6283b3bad703db22098d658c3d5f3dfef61a8750616c7c74e
- Size of remote file:
- 3.06 kB
- SHA256:
- 353da15bd0928bfe8df8dc30c5ec05705c0e44e9b7247f92aeabf45692e8b74c
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