Instructions to use zjunlp/SafeEdit-Safety-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zjunlp/SafeEdit-Safety-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zjunlp/SafeEdit-Safety-Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zjunlp/SafeEdit-Safety-Classifier") model = AutoModelForSequenceClassification.from_pretrained("zjunlp/SafeEdit-Safety-Classifier") - Notebooks
- Google Colab
- Kaggle
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README.md
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```shell
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from transformers import RobertaForSequenceClassification, RobertaTokenizer
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safety_classifier_dir = 'zjunlp/
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safety_classifier_model = RobertaForSequenceClassification.from_pretrained(safety_classifier_dir)
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safety_classifier_tokenizer = RobertaTokenizer.from_pretrained(safety_classifier_dir)
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```
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```shell
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from transformers import RobertaForSequenceClassification, RobertaTokenizer
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safety_classifier_dir = 'zjunlp/SafeEdit-Safety-Classifier'
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safety_classifier_model = RobertaForSequenceClassification.from_pretrained(safety_classifier_dir)
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safety_classifier_tokenizer = RobertaTokenizer.from_pretrained(safety_classifier_dir)
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```
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