Instructions to use egerber1/classifier-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use egerber1/classifier-de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="egerber1/classifier-de")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("egerber1/classifier-de") model = AutoModelForSequenceClassification.from_pretrained("egerber1/classifier-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from egerber1/classifier-de: direct link, hf CLI and curl.
- Browser
- Download file 727 kB
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https://huggingface.co/egerber1/classifier-de/resolve/main/tokenizer.json
- Command line
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hf download hf://egerber1/classifier-de/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/egerber1/classifier-de/resolve/main/tokenizer.json
727 kB
File too large to display, you can check the raw version instead.