Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use jaranohaal/distilbert-base-uncased-finetuned-scam-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaranohaal/distilbert-base-uncased-finetuned-scam-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jaranohaal/distilbert-base-uncased-finetuned-scam-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jaranohaal/distilbert-base-uncased-finetuned-scam-classification") model = AutoModelForSequenceClassification.from_pretrained("jaranohaal/distilbert-base-uncased-finetuned-scam-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K