Instructions to use VSPuzzler/InnocentClassificationModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VSPuzzler/InnocentClassificationModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VSPuzzler/InnocentClassificationModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("VSPuzzler/InnocentClassificationModel") model = AutoModelForSequenceClassification.from_pretrained("VSPuzzler/InnocentClassificationModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bb1b6ab1f72b7bcabb8cc62e636633d604105bf30b6a882a9acda822128eb46
- Size of remote file:
- 433 MB
- SHA256:
- f3672b1b18490bc1c111d8bf47f0f8db96592f512e372ea447d31d6c0b3c786c
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