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:
- 835d90ffc5b0516cdd4ef2af847c1fea4bf7f8a45e0d5661c4106d3108aaf329
- Size of remote file:
- 657 MB
- SHA256:
- 1835ebd9915864cc039b3c399574650ec2e68ed433d3de560cdb3665accaef6f
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