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
Download en/tokenizer.json from MultiSense/SaleIntent_bert: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/MultiSense/SaleIntent_bert/resolve/refs%2Fpr%2F1/en/tokenizer.json
- Command line
-
hf download hf://MultiSense/SaleIntent_bert@refs/pr/1/en/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/MultiSense/SaleIntent_bert/resolve/refs%2Fpr%2F1/en/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.