Instructions to use deepset/gbert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/gbert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="deepset/gbert-large")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("deepset/gbert-large", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Getting a Out Of memory error on gbert-large while normal works perfectly
#3 opened over 2 years ago
by
cdnj
Very good results with German text classification and SetFit.
❤️ 3
1
#1 opened over 3 years ago
by
PhilipMay