Text Classification
Transformers
Safetensors
English
roberta
Bias Detection
Text Classification
text-embeddings-inference
Instructions to use himel7/bias-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use himel7/bias-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="himel7/bias-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("himel7/bias-detector") model = AutoModelForSequenceClassification.from_pretrained("himel7/bias-detector") - Notebooks
- Google Colab
- Kaggle
github link
Browse files
README.md
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- **Developed by:** Himel Ghosh
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- **Language(s) (NLP):** Python
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- **Finetuned from model:** roberta-base
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- **Code:**
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## Uses
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- **Developed by:** Himel Ghosh
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- **Language(s) (NLP):** Python
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- **Finetuned from model:** roberta-base
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- **Code:** https://github.com/Himel1996/NewsBiasDetector/
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## Uses
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