Instructions to use hw2942/bert-base-chinese-climate-related-prediction-v6 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-v6 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-v6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hw2942/bert-base-chinese-climate-related-prediction-v6") model = AutoModelForSequenceClassification.from_pretrained("hw2942/bert-base-chinese-climate-related-prediction-v6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0198876ccc729a512279b04277bfbaba9dfed32eca2882fadc8fbd09d9438508
- Size of remote file:
- 5.18 kB
- SHA256:
- 10f278ef3588fa4d2b1ea96d093fd21d0095ee1ddb31e1fd9c56b379ded2420a
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