Text Classification
Transformers
ONNX
Safetensors
German
xlm-roberta
job-classification
german
taxonomy-main
text-embeddings-inference
Instructions to use Ashybalka/xlm-roberta-taxonomy-main-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ashybalka/xlm-roberta-taxonomy-main-de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ashybalka/xlm-roberta-taxonomy-main-de")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ashybalka/xlm-roberta-taxonomy-main-de") model = AutoModelForSequenceClassification.from_pretrained("Ashybalka/xlm-roberta-taxonomy-main-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,877 Bytes
318738c 775ca3f 318738c 775ca3f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | precision recall f1-score support
Administration & Office 0.757 0.652 0.700 244
Construction & Building 0.607 0.733 0.664 116
Design & Creative 0.629 0.759 0.688 29
Education & Teaching 0.645 0.778 0.705 63
Engineering 0.776 0.745 0.760 474
Finance, Accounting & Controlling 0.754 0.772 0.763 254
General Management & Consulting 0.649 0.732 0.688 149
Healthcare & Medical 0.847 0.878 0.862 221
Hospitality, Gastronomy & Tourism 0.823 0.868 0.845 91
Human Resources 0.590 0.821 0.687 28
IT & Software 0.861 0.868 0.865 500
Insurance & Real Estate 0.683 0.887 0.772 80
Legal 0.600 0.667 0.632 18
Logistics, Transport & Warehouse 0.805 0.910 0.854 100
Marketing, Communications & PR 0.700 0.667 0.683 42
Production & Manufacturing 0.626 0.635 0.630 192
Public Sector, Security & Defense 0.720 0.805 0.760 118
Sales & Business Development 0.927 0.844 0.884 500
Science & Research 0.733 0.688 0.710 32
Skilled Trades & Crafts 0.833 0.778 0.805 500
Social Work & Care 0.844 0.756 0.797 164
accuracy 0.786 3915
macro avg 0.734 0.773 0.750 3915
weighted avg 0.792 0.786 0.788 3915
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