Instructions to use bunsenfeng/bot_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bunsenfeng/bot_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bunsenfeng/bot_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bunsenfeng/bot_classifier") model = AutoModelForSequenceClassification.from_pretrained("bunsenfeng/bot_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33b623ae6e6e80c0078fb4cdd45f7c6c07c3f1ae79e1c7666c06714164fa4a02
- Size of remote file:
- 499 MB
- SHA256:
- d72467457e03e1a6f5713286d1ddd2f0ca033b8a0292bbe65cd93490e8127d6b
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