Instructions to use ishaansharma/genunity-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ishaansharma/genunity-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ishaansharma/genunity-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ishaansharma/genunity-detector") model = AutoModelForSequenceClassification.from_pretrained("ishaansharma/genunity-detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f052892a6884b2e13197f938b40c6fc9c231d6d99ef63fb389fe915e0dc5f85b
- Size of remote file:
- 1.34 GB
- SHA256:
- d335394e18079b56de0868e0c8cebe8d88bc8be266e61667f3586406e65db7cb
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