Instructions to use hw2942/bert-base-chinese-climate-risk-opportunity-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-risk-opportunity-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-risk-opportunity-prediction-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hw2942/bert-base-chinese-climate-risk-opportunity-prediction-v2") model = AutoModelForSequenceClassification.from_pretrained("hw2942/bert-base-chinese-climate-risk-opportunity-prediction-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb79fd70c5d7935d106b9c36e55dc32300eb4d66256e052cbae3c58c04e4fff6
- Size of remote file:
- 5.24 kB
- SHA256:
- 12cf3d1ca2adf9dcaf008f57465d79eae5cec6da57b5d76a0b9fc9db8b1dd021
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