Text Classification
Transformers
Safetensors
modernbert
feature-extraction
eurovoc
multi-label
multilingual
mmbert
text-embeddings-inference
Instructions to use EuropeanParliament/EuroVoc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EuropeanParliament/EuroVoc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EuropeanParliament/EuroVoc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("EuropeanParliament/EuroVoc") model = AutoModel.from_pretrained("EuropeanParliament/EuroVoc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download classifier.pt from EuropeanParliament/EuroVoc: direct link, hf CLI and curl.
- Browser
- Download file 21.7 MB
-
https://huggingface.co/EuropeanParliament/EuroVoc/resolve/main/classifier.pt
- Command line
-
hf download hf://EuropeanParliament/EuroVoc/classifier.pt
-
curl -L -o classifier.pt https://huggingface.co/EuropeanParliament/EuroVoc/resolve/main/classifier.pt
21.7 MB
- Xet hash:
- 87302c1167578296d3313567e5539c9f5a354e9c66cfd2ac028b14b64c351938
- Size of remote file:
- 21.7 MB
- SHA256:
- 71c71fab4d96aa54f88d1f1be6c9e11d2c7388c10caff891d2bf61db6f21268b
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