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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba98cc9851b5183f94d862689d30ac0c41c64f97df61268c3b604298671626a2
- Size of remote file:
- 2.93 kB
- SHA256:
- cf2c329d004478e228e0409bc3af374ddf708290346d6a3647f2fde201c2b1fe
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