Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use XvKuoMing/bert-chn-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use XvKuoMing/bert-chn-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="XvKuoMing/bert-chn-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("XvKuoMing/bert-chn-classifier") model = AutoModelForSequenceClassification.from_pretrained("XvKuoMing/bert-chn-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32efda274f145892e19fbf004bb74e0b83cb5298e09a09bd6ef665a16a17e468
- Size of remote file:
- 1.71 GB
- SHA256:
- ba736520255cccb30eb257513d4f186554ca4a3024c8904c46cc7594404f7ef3
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