Text Classification
Transformers
PyTorch
German
distilbert
job ads
requirement level classification
kldb
xai
text-embeddings-inference
Instructions to use KKrueger/oja_reqlevel_de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KKrueger/oja_reqlevel_de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KKrueger/oja_reqlevel_de")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KKrueger/oja_reqlevel_de") model = AutoModelForSequenceClassification.from_pretrained("KKrueger/oja_reqlevel_de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b48597aa90b754bdb72f52be149578d496a296c6d1c9ddeb14ac7e492a5b627d
- Size of remote file:
- 3.32 kB
- SHA256:
- 8f57c9437fd1c2816e3eb217d7acde80f2f15aa97c3dd4ef187adfdb9ac3d21d
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