Text Classification
Transformers
TensorBoard
Safetensors
Chinese
bert
Generated from Trainer
climate
Instructions to use hw2942/bert-base-chinese-climate-related-prediction-1 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-1 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-1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hw2942/bert-base-chinese-climate-related-prediction-1") model = AutoModelForSequenceClassification.from_pretrained("hw2942/bert-base-chinese-climate-related-prediction-1") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- accuracy
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tags:
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- generated_from_trainer
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model-index:
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- name: bert-base-chinese-climate-related-prediction-1
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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- accuracy
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tags:
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- generated_from_trainer
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- climate
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model-index:
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- name: bert-base-chinese-climate-related-prediction-1
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results: []
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datasets:
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- hw2942/climate-unrelated_0-related_1
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language:
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- zh
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pipeline_tag: text-classification
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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