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") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("junaid1993/bot_detection_model")
model = AutoModelForSequenceClassification.from_pretrained("junaid1993/bot_detection_model")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
The Model is trained to classify the text written by either Human or Bot. We will update this model by training on more and diverse parameters
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="junaid1993/bot_detection_model")