Instructions to use hw2942/bert-base-chinese-climate-related-prediction-v2 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-v2 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-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hw2942/bert-base-chinese-climate-related-prediction-v2") model = AutoModelForSequenceClassification.from_pretrained("hw2942/bert-base-chinese-climate-related-prediction-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad02feaf12e0c06eb3af252c1cf461a6fefdb68713194e1812c8dffba8615d96
- Size of remote file:
- 409 MB
- SHA256:
- 931cd5847a54017d34dd34bbd8604742bd8e9296d468a69a74b221eab3f1d8fa
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