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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("deepset/gbert-large", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -38,7 +38,7 @@ Stefan Schweter: `stefan [at] schweter.eu`
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Timo Möller: `timo.moeller [at] deepset.ai`
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## About us
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We bring NLP to the industry via open source!
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Our focus: Industry specific language models & large scale QA systems.
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