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:
- 2fdaf30d3eb7946e1a6afd8c9a4e01f61a2870c6100067a7db15398f528ce320
- Size of remote file:
- 5.37 kB
- SHA256:
- f15cbd61cefd39e9a728c08ffcb3a729d0182a60e8d96281339f9800bbedc8e0
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