Instructions to use chkla/parlbert-german-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chkla/parlbert-german-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="chkla/parlbert-german-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("chkla/parlbert-german-v2") model = AutoModelForMaskedLM.from_pretrained("chkla/parlbert-german-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12d6819816cbaaf3cc01889e33cb5432558329a4997dceccab0edd1d8716be77
- Size of remote file:
- 440 MB
- SHA256:
- 19e5098c14095511dc4ce3d8365f60290ecc2a7c7e2240e5184a66ecab8c265c
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