Text Classification
Transformers
TensorBoard
Safetensors
Chinese
bert
Generated from Trainer
climate
Instructions to use hw2942/bert-base-chinese-climate-related-prediction-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hw2942/bert-base-chinese-climate-related-prediction-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hw2942/bert-base-chinese-climate-related-prediction-1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hw2942/bert-base-chinese-climate-related-prediction-1") model = AutoModelForSequenceClassification.from_pretrained("hw2942/bert-base-chinese-climate-related-prediction-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a94496cef63dd788c616c181bfc4bb57a0a10440f41e871ca6525a4b4b66438e
- Size of remote file:
- 409 MB
- SHA256:
- 97ae24859ce78357afc66cd56a4a119fcd9256a4e5c7cbbcc79fa562b1c780b1
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