Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use semindan/paws_x_m_bert_only_de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use semindan/paws_x_m_bert_only_de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="semindan/paws_x_m_bert_only_de")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("semindan/paws_x_m_bert_only_de") model = AutoModelForSequenceClassification.from_pretrained("semindan/paws_x_m_bert_only_de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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update model card README.md
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