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
- Xet hash:
- 3e4d7f21b6b4323ddc8131718c50583111fc32df59c9049e35742d317a6deb56
- Size of remote file:
- 279 MB
- SHA256:
- d23e2f72e32415ba5358a341c44de9565ed77848adadd378dd7d874afd5f1966
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