Text Classification
Transformers
Safetensors
Chinese
English
bert
sales
intent-classification
dialogue
evaluation
Instructions to use MultiSense/SaleIntent_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiSense/SaleIntent_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MultiSense/SaleIntent_bert")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MultiSense/SaleIntent_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0081f1fa0f492ab712d0015fed41da1d4c85cee8b80e4d75dd8dfb4c48f3e65
- Size of remote file:
- 1.06 kB
- SHA256:
- 82f086362fd598cad0852e5445dc8a59f8987edd7993f40edd6de3b6614e6c2f
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