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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse files- tokenizer_config.json.txt +1 -0
- vocab-3.txt +0 -0
tokenizer_config.json.txt
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{"do_lower_case": false, "max_len": 512, "init_inputs": [], "strip_accents":false}
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vocab-3.txt
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