Instructions to use manjt/toxic_comment_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manjt/toxic_comment_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="manjt/toxic_comment_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("manjt/toxic_comment_classifier") model = AutoModelForSequenceClassification.from_pretrained("manjt/toxic_comment_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bcd886f744f54fbea0f70d558067e2e85942e721d567fbbf56e6cec41ef540ab
- Size of remote file:
- 268 MB
- SHA256:
- ba85f3b9953ef2efc4098066d8a6c92d3a43d6efe877acb5b4144e496a2b34fe
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