Instructions to use cl-trier/gbert-base_sosec-topic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cl-trier/gbert-base_sosec-topic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cl-trier/gbert-base_sosec-topic")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cl-trier/gbert-base_sosec-topic") model = AutoModelForSequenceClassification.from_pretrained("cl-trier/gbert-base_sosec-topic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload BertForSequenceClassification
Department of Computational Linguistics - University of Trier5bdb547
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Upload BertForSequenceClassification
Department of Computational Linguistics - University of Trierd3f14a4
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Upload BertForSequenceClassification
Department of Computational Linguistics - University of Trier6f9f75f