Instructions to use gwlms/bert-base-dewiki-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gwlms/bert-base-dewiki-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="gwlms/bert-base-dewiki-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("gwlms/bert-base-dewiki-v1") model = AutoModelForMaskedLM.from_pretrained("gwlms/bert-base-dewiki-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdf7f4dbcf67d19103a9421b531936d0617668e35f23dca59b53407e72b3ed09
- Size of remote file:
- 445 MB
- SHA256:
- 9086cd8e7dd2a30a3fad51c67002c3e27897379d822448f31bfb157658dc1d89
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