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")# pip install -U transformers accelerate # 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
Download optimizer.pt from benjamin/roberta-base-wechsel-german: direct link, hf CLI and curl.
- Browser
- Download file 998 MB
-
https://huggingface.co/benjamin/roberta-base-wechsel-german/resolve/refs%2Fpr%2F2/optimizer.pt
- Command line
-
hf download hf://benjamin/roberta-base-wechsel-german@refs/pr/2/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/benjamin/roberta-base-wechsel-german/resolve/refs%2Fpr%2F2/optimizer.pt
998 MB
- Xet hash:
- bbb35a4a5a1252f3c0a2ceebd43c5c581399819b56ee664a3196dcd49cd381d1
- Size of remote file:
- 998 MB
- SHA256:
- 057e3589ecddb563c22513780604abde0bb42e5d969457d03888b896e0318ca2
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