Instructions to use GroNLP/bert_dutch_base_offensive_language with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GroNLP/bert_dutch_base_offensive_language with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GroNLP/bert_dutch_base_offensive_language")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("GroNLP/bert_dutch_base_offensive_language") model = AutoModelForSequenceClassification.from_pretrained("GroNLP/bert_dutch_base_offensive_language", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from GroNLP/bert_dutch_base_offensive_language: direct link, hf CLI and curl.
- Browser
- Download file 159 Bytes
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https://huggingface.co/GroNLP/bert_dutch_base_offensive_language/resolve/main/special_tokens_map.json
- Command line
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hf download hf://GroNLP/bert_dutch_base_offensive_language/special_tokens_map.json
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curl -L -o special_tokens_map.json https://huggingface.co/GroNLP/bert_dutch_base_offensive_language/resolve/main/special_tokens_map.json
159 Bytes
| {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "additional_special_tokens": ["@USER", "URL"]} |