Instructions to use joelniklaus/legal-slovenian-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joelniklaus/legal-slovenian-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="joelniklaus/legal-slovenian-roberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("joelniklaus/legal-slovenian-roberta-base") model = AutoModelForMaskedLM.from_pretrained("joelniklaus/legal-slovenian-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from joelniklaus/legal-slovenian-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/joelniklaus/legal-slovenian-roberta-base/resolve/main/training_args.bin
- Command line
-
hf download hf://joelniklaus/legal-slovenian-roberta-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/joelniklaus/legal-slovenian-roberta-base/resolve/main/training_args.bin
3.44 kB
- Xet hash:
- 5ffc9ad64bf35c2a592d5b1f8ae647f9e240288acbf0434d732ed101340bcbd3
- Size of remote file:
- 3.44 kB
- SHA256:
- 9f398da8e441b44a865590ecde4c10f20a0496684e013348652f6c2409ddf791
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