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:
- bbb35a4a5a1252f3c0a2ceebd43c5c581399819b56ee664a3196dcd49cd381d1
- Size of remote file:
- 998 MB
- SHA256:
- 057e3589ecddb563c22513780604abde0bb42e5d969457d03888b896e0318ca2
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