Instructions to use deepset/gbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/gbert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="deepset/gbert-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("deepset/gbert-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download model.safetensors from deepset/gbert-base: direct link, hf CLI and curl.
- Browser
- Download file 442 MB
-
https://huggingface.co/deepset/gbert-base/resolve/main/model.safetensors
- Command line
-
hf download hf://deepset/gbert-base/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/deepset/gbert-base/resolve/main/model.safetensors
442 MB
- Xet hash:
- 94db12936e7000f35a16bd5a8b023d85d7aff4c1cfed4d5dd70c17b46eaea69c
- Size of remote file:
- 442 MB
- SHA256:
- 1c3d31aa6461261d8714a4ba57033437dba5afce502be1faaa068368132461fe
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