Instructions to use benjamin/roberta-base-wechsel-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use benjamin/roberta-base-wechsel-german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="benjamin/roberta-base-wechsel-german")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("benjamin/roberta-base-wechsel-german") model = AutoModelForMaskedLM.from_pretrained("benjamin/roberta-base-wechsel-german", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30cca1513e428ac1a8c71ec98193a93434a925d521d93b8c05c8d8fb7eccd3bb
- Size of remote file:
- 499 MB
- SHA256:
- 004a7d54c37ae3b27a35fdba93f7df896e526dd1ae29755075ff15a782b505a2
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