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 zh/training_args.bin from MultiSense/SaleIntent_bert: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/MultiSense/SaleIntent_bert/resolve/refs%2Fpr%2F1/zh/training_args.bin
- Command line
-
hf download hf://MultiSense/SaleIntent_bert@refs/pr/1/zh/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/MultiSense/SaleIntent_bert/resolve/refs%2Fpr%2F1/zh/training_args.bin
5.24 kB
- Xet hash:
- b11527d59028433246fdde17502c95af015800bd4ed117b0da4ebdb530f4e667
- Size of remote file:
- 5.24 kB
- SHA256:
- 453eb7e84a3532eaf755e0c5e8036dfd3e951d67f790e960278a79f9a2b7f5d6
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