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
- Xet hash:
- fdbc588c2d9a3b0483179291ad9d764f1c00bf4b72f81e106fcfd81276be7e1b
- Size of remote file:
- 11.4 MB
- SHA256:
- 18464cc643cfda8079a1edb2795c3dcad404710feb888e61cc59cf8016975c76
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