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:
- e10309546e2aa7b8a141dcf51728511c47e9ee885620e366fffe12a97b7d2466
- Size of remote file:
- 894 MB
- SHA256:
- 9153ab5fa4e59ff6328c1d040d1ba16275cf8367339b06ca4358e29aaf45c433
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