Instructions to use hw2942/bert-base-chinese-climate-related-prediction-4 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-4 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-4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hw2942/bert-base-chinese-climate-related-prediction-4") model = AutoModelForSequenceClassification.from_pretrained("hw2942/bert-base-chinese-climate-related-prediction-4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b04c4940f69ec27c13b5cf4b4144e9db8aef6aa9a4e11cdf4fe22319e1d1c817
- Size of remote file:
- 5.18 kB
- SHA256:
- e252fdc53d2601f6f5271ce6dbf4b7efa032f01b315c7fcc3ff00f7eb30b1cf4
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