Instructions to use adrienbrdne/t5-base-problematic-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adrienbrdne/t5-base-problematic-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adrienbrdne/t5-base-problematic-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adrienbrdne/t5-base-problematic-classifier") model = AutoModelForSequenceClassification.from_pretrained("adrienbrdne/t5-base-problematic-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f20bfe12ab8a94063afcdfb599f2a5694c41596a2fa5d9ca4e6dcc82ffc312b
- Size of remote file:
- 5.37 kB
- SHA256:
- 0f74f5131f0296a81d3e536dbcb39397c172a48becfb9afe61518666201e7e59
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