Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Trained with AutoTrain
text-embeddings-inference
Instructions to use cognitron/poisoned-spam-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cognitron/poisoned-spam-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cognitron/poisoned-spam-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cognitron/poisoned-spam-classifier") model = AutoModelForSequenceClassification.from_pretrained("cognitron/poisoned-spam-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
- 6
Model tree for cognitron/poisoned-spam-classifier
Base model
skandavivek2/spam-classifier