Text Classification
Transformers
TensorBoard
Safetensors
German
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ubffm/academic_text_classifier_de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ubffm/academic_text_classifier_de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ubffm/academic_text_classifier_de")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ubffm/academic_text_classifier_de") model = AutoModelForSequenceClassification.from_pretrained("ubffm/academic_text_classifier_de") - Notebooks
- Google Colab
- Kaggle
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README.md
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from transformers import pipeline
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# define model name
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model_name = "ubffm/
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# run model with hf pipeline
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## return output for the best label
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from transformers import pipeline
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# define model name
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model_name = "ubffm/academic_text_classifier_de"
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# run model with hf pipeline
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## return output for the best label
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