Instructions to use gart-labor/gbert-base-sichern-5000-32-3.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gart-labor/gbert-base-sichern-5000-32-3.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gart-labor/gbert-base-sichern-5000-32-3.0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gart-labor/gbert-base-sichern-5000-32-3.0") model = AutoModelForSequenceClassification.from_pretrained("gart-labor/gbert-base-sichern-5000-32-3.0") - Notebooks
- Google Colab
- Kaggle
README.md exists but content is empty.
- Downloads last month
- 4