Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use MelvinNathan/Fraud-detect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MelvinNathan/Fraud-detect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MelvinNathan/Fraud-detect")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MelvinNathan/Fraud-detect") model = AutoModelForSequenceClassification.from_pretrained("MelvinNathan/Fraud-detect", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1f127ea5d67bb27c27276a230f167330dfa44e948186c39f888fc6fa2f0a928
- Size of remote file:
- 5.37 kB
- SHA256:
- b978aad827610482e30e68a31418ba928cd3be43158f49467bfbb2083feaebcf
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