Instructions to use adrienbrdne/electra-problematic-classifier-nd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adrienbrdne/electra-problematic-classifier-nd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adrienbrdne/electra-problematic-classifier-nd")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adrienbrdne/electra-problematic-classifier-nd") model = AutoModelForSequenceClassification.from_pretrained("adrienbrdne/electra-problematic-classifier-nd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21deab8ddbf10dee6d53d7bb7b7991f8272fce8ba9d1bd5c3c65c90083ba6a47
- Size of remote file:
- 438 MB
- SHA256:
- 7c863f96c034fc528c9a0eec7e707006e86ca0d740c0d2f7b8e58b7725a514cd
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