Instructions to use seanbenhur/kanglish-offensive-language-identification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seanbenhur/kanglish-offensive-language-identification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="seanbenhur/kanglish-offensive-language-identification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("seanbenhur/kanglish-offensive-language-identification") model = AutoModelForSequenceClassification.from_pretrained("seanbenhur/kanglish-offensive-language-identification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 707236cf491c88b05485965d204cd6c9ccb4cbcfe649eede3939ac7f2fc4cc8b
- Size of remote file:
- 481 MB
- SHA256:
- 5690a2aeb09cd3c598b90a66e359a5cbc4120554de2adce2bc46f91a612935da
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