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:
- e9c1ceb108317152cfbac56d32b276001734ea9a54bab09bb1d4efba9d396fea
- Size of remote file:
- 4.86 kB
- SHA256:
- db0883b104017115ede6a860fe41b785fa4b262d4342a529cd1ecace2971edae
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