Instructions to use alexandrainst/da-offensive-detection-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexandrainst/da-offensive-detection-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alexandrainst/da-offensive-detection-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alexandrainst/da-offensive-detection-base") model = AutoModelForSequenceClassification.from_pretrained("alexandrainst/da-offensive-detection-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00ccbaabf10910ba52b69474e02b8882d9952efdc9b92116705b8e69b375cd45
- Size of remote file:
- 1.11 GB
- SHA256:
- 54beac952d8565d4d31ab80f9021f57d870a5d57782ba06a5449c1198d0e44a8
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