Text Classification
Transformers
PyTorch
ONNX
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use austinb/fraud_text_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use austinb/fraud_text_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="austinb/fraud_text_detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("austinb/fraud_text_detection") model = AutoModelForSequenceClassification.from_pretrained("austinb/fraud_text_detection") - Notebooks
- Google Colab
- Kaggle
Dataset Used (Any Info?)
#2
by niembro64 - opened
I'm wondering if we can have any information on the dataset used here?
I understand that "Datasets 2.14.5" refers to a library that manages a dataset.
I found the dataset on Kaggle: https://www.kaggle.com/datasets/narayanyadav/fraud-call-india-dataset
Thank you!