Instructions to use junaid1993/bot_detection_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junaid1993/bot_detection_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="junaid1993/bot_detection_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("junaid1993/bot_detection_model") model = AutoModelForSequenceClassification.from_pretrained("junaid1993/bot_detection_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8eda46ad3fada4a678e26d539bf77d68c6944b6463e2657e88e513a1febb54a
- Size of remote file:
- 328 MB
- SHA256:
- 86db8e81c01a09310376aaa659ae6ee1348629d6f46fe350bf33105a499d3c02
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