Text Classification
Transformers
Safetensors
qwen3
feature-extraction
custom
multi-label
czech
lora
text-embeddings-inference
Instructions to use enuma-elis/qwen-8b-vyhruzky-vulgarity-rasismus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enuma-elis/qwen-8b-vyhruzky-vulgarity-rasismus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="enuma-elis/qwen-8b-vyhruzky-vulgarity-rasismus")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("enuma-elis/qwen-8b-vyhruzky-vulgarity-rasismus") model = AutoModelForMultimodalLM.from_pretrained("enuma-elis/qwen-8b-vyhruzky-vulgarity-rasismus") - Notebooks
- Google Colab
- Kaggle
File size: 605 Bytes
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