Instructions to use dardem/distilbert-base-uk-cased-toxicity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dardem/distilbert-base-uk-cased-toxicity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dardem/distilbert-base-uk-cased-toxicity")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dardem/distilbert-base-uk-cased-toxicity") model = AutoModelForSequenceClassification.from_pretrained("dardem/distilbert-base-uk-cased-toxicity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06083c90333a6d4972eca1a1273fe2079e07c142680a086c34377b8b742d1113
- Size of remote file:
- 4.66 kB
- SHA256:
- 54a31bd72b0ae8d7011e05300142ea8f2923e399ea82cf67e9d6921d72e8876e
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