Text Classification
Transformers
Safetensors
PyTorch
English
roberta
bot-detection
social-media
distilroberta
Eval Results (legacy)
text-embeddings-inference
Instructions to use junaid1993/distilroberta-bot-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junaid1993/distilroberta-bot-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="junaid1993/distilroberta-bot-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("junaid1993/distilroberta-bot-detection") model = AutoModelForSequenceClassification.from_pretrained("junaid1993/distilroberta-bot-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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```bibtex
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@model{distilroberta-bot-detection-2024,
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title={Bot Detection Model using DistilRoBERTa},
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author={Junaid},
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year={
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publisher={Hugging Face},
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url={https://huggingface.co/junaid1993/distilroberta-bot-detection}
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}
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```bibtex
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@model{distilroberta-bot-detection-2024,
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title={Bot Detection Model using DistilRoBERTa},
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author={Junaid Ahmed and Dariusz Jemielniak and Leon Ciechanowski},
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year={2025},
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publisher={Hugging Face},
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url={https://huggingface.co/junaid1993/distilroberta-bot-detection}
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}
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