Instructions to use dvm1983/TinyBERT_General_4L_312D_de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dvm1983/TinyBERT_General_4L_312D_de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dvm1983/TinyBERT_General_4L_312D_de")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dvm1983/TinyBERT_General_4L_312D_de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5a0dd16084eca07c074e7d49c0c0939ab79da4ca70497bd692a3da37e9ead1e
- Size of remote file:
- 97.1 MB
- SHA256:
- f4425a2c0698da9272f2bcae682110e47c791bb0eabb5708f549a62a5f90bd70
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