Instructions to use tajuarAkash/Health_Insurance_Fraud_detection_using_NLP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tajuarAkash/Health_Insurance_Fraud_detection_using_NLP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tajuarAkash/Health_Insurance_Fraud_detection_using_NLP")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tajuarAkash/Health_Insurance_Fraud_detection_using_NLP") model = AutoModelForSequenceClassification.from_pretrained("tajuarAkash/Health_Insurance_Fraud_detection_using_NLP") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4e01aa5705d3d0aa7d1354c0ee74977f447b71f9af40e8c2a22ff8044d83ede
- Size of remote file:
- 268 MB
- SHA256:
- d4ce3093ba5e3ada650933923ed66b56fa891e2ac250cad7268f88f640d9c0bc
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