Text Classification
Transformers
Safetensors
PyTorch
Chinese
bert
fill-mask
chinese
stance-analysis
Eval Results (legacy)
Instructions to use FutureMa/stance_ch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FutureMa/stance_ch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FutureMa/stance_ch")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FutureMa/stance_ch") model = AutoModelForMaskedLM.from_pretrained("FutureMa/stance_ch") - Notebooks
- Google Colab
- Kaggle