Instructions to use junming-qiu/BertToxicClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junming-qiu/BertToxicClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="junming-qiu/BertToxicClassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("junming-qiu/BertToxicClassifier") model = AutoModelForSequenceClassification.from_pretrained("junming-qiu/BertToxicClassifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:63296f6495c8b9055b1b9919dec67c540418c5ad42f938b0a2334b24c21f8af2
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size 437975140
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