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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44fca0157af85f62c3f5445a0b282c463bf9a4a9910cd668f59327a6ae5b2dbc
- Size of remote file:
- 328 MB
- SHA256:
- fb6005d01fca73198876b7048d1d6cff380011e6a72779ce4285856951e1fa05
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