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