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
Download training_args.bin from chkla/parlbert-german-v2: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/chkla/parlbert-german-v2/resolve/main/training_args.bin
- Command line
-
hf download hf://chkla/parlbert-german-v2/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/chkla/parlbert-german-v2/resolve/main/training_args.bin
3.64 kB
- Xet hash:
- 97edcf969e0f71da56ae2ba0462135956efeb62ebebd003ed69f90c3c0f6f40e
- Size of remote file:
- 3.64 kB
- SHA256:
- 7b6ae66c8b8fa37b870d94d20821d6109ed2a6f401679ba9f45a8c767f2ff6f9
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