Instructions to use gplsi/Aitana-FraudDetection-R-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gplsi/Aitana-FraudDetection-R-1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gplsi/Aitana-FraudDetection-R-1.0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gplsi/Aitana-FraudDetection-R-1.0") model = AutoModelForSequenceClassification.from_pretrained("gplsi/Aitana-FraudDetection-R-1.0") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
199413d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:33f8378db2b776ca5ccea1c7f23bb55f2db0dab729578a11003daf76a9cbb0d5
size 5841
|