Instructions to use hw2942/bert-base-chinese-climate-related-prediction-vv3 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-vv3 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-vv3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hw2942/bert-base-chinese-climate-related-prediction-vv3") model = AutoModelForSequenceClassification.from_pretrained("hw2942/bert-base-chinese-climate-related-prediction-vv3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d66e0da4c27735c8cede1c38118f18cabd9a785a21abb552d7b8fb8ff6d876e6
- Size of remote file:
- 409 MB
- SHA256:
- eebf5a0d2baded576204b69862451bf85d36c4c8251d3f1a0b43e09271dc7ee6
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