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:
- 9f1bcd6ef407ab9fe84b4685f3a7354b0c8d56a143a4c14ea2ff71fb3ffd6415
- Size of remote file:
- 270 MB
- SHA256:
- a012d47dd2f25dbed5b51b5f4c082614c17538b4cd3402a2dfac36ee71a7ad94
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