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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
4790168 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:9bedbb712a8c9de0ee710030ecd47616a52dc533409859c53a2e77069b1bd2f0
size 1347330014
|