Text Classification
Transformers
Safetensors
German
bert
job-postings
esco
occupation-classification
german
stellen-atlas
Eval Results (legacy)
text-embeddings-inference
Instructions to use mischeiwiller/jobbert-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mischeiwiller/jobbert-de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mischeiwiller/jobbert-de")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mischeiwiller/jobbert-de") model = AutoModelForSequenceClassification.from_pretrained("mischeiwiller/jobbert-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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docs: cross-link dataset + Space in model card
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Add jobbert-de-v2: 135-way ESCO occupation classifier (LLM-supervised)
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initial commit
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