Instructions to use adrienbrdne/t5-base-problematic-classifier-nd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adrienbrdne/t5-base-problematic-classifier-nd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adrienbrdne/t5-base-problematic-classifier-nd")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adrienbrdne/t5-base-problematic-classifier-nd") model = AutoModelForSequenceClassification.from_pretrained("adrienbrdne/t5-base-problematic-classifier-nd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14fc39d13254eafb666c0d1af27663ace1fdb08fa1099e321bbea1ac66bd2db8
- Size of remote file:
- 5.37 kB
- SHA256:
- 18d3b8674b38c14e3235d2638a4b1b9eeaa1273d107166c92e7f0b10f58130af
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