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: 83 Bytes
41e6512 | 1 2 | {"do_lower_case": false, "max_len": 512, "init_inputs": [], "strip_accents":false}
|