Instructions to use jonghhhh/message_ethicality_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonghhhh/message_ethicality_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jonghhhh/message_ethicality_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jonghhhh/message_ethicality_model") model = AutoModelForSequenceClassification.from_pretrained("jonghhhh/message_ethicality_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1065cfc70ac1dbab1436d4fd04ab3f75666d67adc2db56c8f078e174befb43b5
- Size of remote file:
- 499 MB
- SHA256:
- c8fc982ff1626ef9847d8ad341b0bb66bd261a85af3f5675b472fecf6058745d
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