Instructions to use mox/german_toxicity_classifier_offensive_language_politicians with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mox/german_toxicity_classifier_offensive_language_politicians with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mox/german_toxicity_classifier_offensive_language_politicians")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mox/german_toxicity_classifier_offensive_language_politicians") model = AutoModelForSequenceClassification.from_pretrained("mox/german_toxicity_classifier_offensive_language_politicians", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mox/german_toxicity_classifier_offensive_language_politicians: direct link, hf CLI and curl.
- Browser
- Download file 3.45 kB
-
https://huggingface.co/mox/german_toxicity_classifier_offensive_language_politicians/resolve/main/training_args.bin
- Command line
-
hf download hf://mox/german_toxicity_classifier_offensive_language_politicians/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/mox/german_toxicity_classifier_offensive_language_politicians/resolve/main/training_args.bin
3.45 kB
- Xet hash:
- 8a8a8b8317688fa724e96f3cdfc3625e65e8d75ba600159f90c9b2142fa75268
- Size of remote file:
- 3.45 kB
- SHA256:
- c86dd2d6de212d029bc6aa8acca844949bd9ac5213ea057944c21fa709fe3060
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