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 pytorch_model.bin from joelniklaus/legal-slovenian-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/joelniklaus/legal-slovenian-roberta-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://joelniklaus/legal-slovenian-roberta-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/joelniklaus/legal-slovenian-roberta-base/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- 8c2bccaf671461fc6b247041418e7cf28a5dbd7824cfbfe972fdbbdc754f24ea
- Size of remote file:
- 443 MB
- SHA256:
- dc0f82363057a9179631044e6fa9411dc662f7d3607d9d4c98f2b2ce14f90829
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