Text Classification
Transformers
PyTorch
German
distilbert
german
classification
text-embeddings-inference
Instructions to use ml6team/distilbert-base-german-cased-toxic-comments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ml6team/distilbert-base-german-cased-toxic-comments with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ml6team/distilbert-base-german-cased-toxic-comments")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ml6team/distilbert-base-german-cased-toxic-comments") model = AutoModelForSequenceClassification.from_pretrained("ml6team/distilbert-base-german-cased-toxic-comments") - Notebooks
- Google Colab
- Kaggle
| {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"} |