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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MultiSense/SaleIntent_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download en/README.md from MultiSense/SaleIntent_bert: direct link, hf CLI and curl.
- Browser
- Download file 211 Bytes
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https://huggingface.co/MultiSense/SaleIntent_bert/resolve/refs%2Fpr%2F1/en/README.md
- Command line
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hf download hf://MultiSense/SaleIntent_bert@refs/pr/1/en/README.md
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curl -L -o README.md https://huggingface.co/MultiSense/SaleIntent_bert/resolve/refs%2Fpr%2F1/en/README.md
211 Bytes
| license: apache-2.0 | |
| library_name: transformers | |
| tags: | |
| - intent-classification | |
| - bert | |
| - english | |
| # SaleIntent (English) | |
| English intent classification model for sales and customer service scenarios. | |