Instructions to use adrienbrdne/electra-problematic-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adrienbrdne/electra-problematic-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adrienbrdne/electra-problematic-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adrienbrdne/electra-problematic-classifier") model = AutoModelForSequenceClassification.from_pretrained("adrienbrdne/electra-problematic-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00be26fad2e5074d9bd45cabdabc88670074750f736d6b224983b8d408c74bdd
- Size of remote file:
- 5.37 kB
- SHA256:
- e5ad814f1e2d0559675a75e8efff563b514fc50fd99e55fe81bb52d3b1ed1e2f
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