Text Classification
Transformers
Safetensors
English
bert
federated-learning
finance
sentiment-analysis
finbert
text-embeddings-inference
Instructions to use harshprasad03/FinBERT-Adaptive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harshprasad03/FinBERT-Adaptive with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="harshprasad03/FinBERT-Adaptive")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("harshprasad03/FinBERT-Adaptive") model = AutoModelForSequenceClassification.from_pretrained("harshprasad03/FinBERT-Adaptive", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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- finbert
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library_name: transformers
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pipeline_tag: text-classification
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---
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## FinBERT–AdaptiveFedAvg: Adaptive Federated Aggregation for Financial Sentiment Analysis
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### 📚 Citation
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```
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Harsh Prasad (2025).
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Adaptive Federated FinBERT for Financial Sentiment Analysis.
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```
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### 👨💻
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**Harsh Prasad**
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- finbert
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library_name: transformers
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pipeline_tag: text-classification
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authors:
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- Harsh Prasad
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- Sai Dhole
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## FinBERT–AdaptiveFedAvg: Adaptive Federated Aggregation for Financial Sentiment Analysis
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### 📚 Citation
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```
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Harsh Prasad, Sai Dhole (2025).
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Adaptive Federated FinBERT for Financial Sentiment Analysis.
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```
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### 👨💻 Authors
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**Harsh Prasad**
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AI and ML Research
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**Sai Dhole**
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AI and ML Research
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