Instructions to use RashidNLP/German-Text-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RashidNLP/German-Text-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RashidNLP/German-Text-Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RashidNLP/German-Text-Classification") model = AutoModelForSequenceClassification.from_pretrained("RashidNLP/German-Text-Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f4dee361ce08fbf94060ce6baca2415169886d4f6c06fa85a20c2c23deb5b56
- Size of remote file:
- 1.11 GB
- SHA256:
- 0220c2484c73f07d7ce6373d301b83ebe08ec391eb6112c8126e84597b8e827a
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