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chungpt2123
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esg-subfactor-classifier

Text Classification
Transformers
Safetensors
English
Vietnamese
esg_hierarchical
esg
classification
hierarchical
multi-task-learning
sustainability
custom_code
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@@ -40,7 +40,7 @@ The model uses a hierarchical approach:
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  from transformers import AutoTokenizer, AutoModelForSequenceClassification
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  # Load model and tokenizer
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- model = AutoModelForSequenceClassification.from_pretrained("chungpt2123/test1", trust_remote_code=True)
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  tokenizer = AutoTokenizer.from_pretrained("Alibaba-NLP/gte-multilingual-base")
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  # Example usage
@@ -69,10 +69,6 @@ The model achieves strong performance on ESG classification tasks with hierarchi
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  - Performance may vary on domain-specific or technical ESG content
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  - Best performance on texts similar to training data distribution
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- ## Citation
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-
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- If you use this model, please cite:
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-
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  ```bibtex
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  @misc{esg_hierarchical_model,
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  title={ESG Hierarchical Multi-Task Learning Model},
 
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  from transformers import AutoTokenizer, AutoModelForSequenceClassification
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  # Load model and tokenizer
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+ model = AutoModelForSequenceClassification.from_pretrained("chungpt2123/esg-subfactor-classifier", trust_remote_code=True)
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  tokenizer = AutoTokenizer.from_pretrained("Alibaba-NLP/gte-multilingual-base")
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  # Example usage
 
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  - Performance may vary on domain-specific or technical ESG content
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  - Best performance on texts similar to training data distribution
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  ```bibtex
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  @misc{esg_hierarchical_model,
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  title={ESG Hierarchical Multi-Task Learning Model},