Instructions to use hw2942/bert-base-chinese-climate-related-prediction-3 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-3 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-3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hw2942/bert-base-chinese-climate-related-prediction-3") model = AutoModelForSequenceClassification.from_pretrained("hw2942/bert-base-chinese-climate-related-prediction-3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dddf369593d812308665ee311cb6c38f49512ca51b8522ebdcb1e6935f765469
- Size of remote file:
- 5.18 kB
- SHA256:
- a7d4d803916cf6409814865387053c5f14c016a7901001f6ef8e46198dec3695
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