Instructions to use JanSt/gbert-base_DA_sosec-topic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JanSt/gbert-base_DA_sosec-topic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JanSt/gbert-base_DA_sosec-topic")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JanSt/gbert-base_DA_sosec-topic") model = AutoModelForSequenceClassification.from_pretrained("JanSt/gbert-base_DA_sosec-topic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eebfa2a2a4fa83bd002d2263593fec566a1e70b148d0bccf56aa9eb5d1c9b11d
- Size of remote file:
- 440 MB
- SHA256:
- 5ceb82f2e0a138a65d2dd72524af73ee862112c7c2fe46368aff5e974cceb862
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