Instructions to use joelniklaus/legal-slovak-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joelniklaus/legal-slovak-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="joelniklaus/legal-slovak-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("joelniklaus/legal-slovak-roberta-base") model = AutoModelForMaskedLM.from_pretrained("joelniklaus/legal-slovak-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from joelniklaus/legal-slovak-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/joelniklaus/legal-slovak-roberta-base/resolve/main/training_args.bin
- Command line
-
hf download hf://joelniklaus/legal-slovak-roberta-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/joelniklaus/legal-slovak-roberta-base/resolve/main/training_args.bin
3.44 kB
- Xet hash:
- f19268b22039f52856f78d54378e7107abb87953bef0caf6055728971089d8e4
- Size of remote file:
- 3.44 kB
- SHA256:
- b1695b0ebf11f5b7041344d1f9370e72152360b6d39392adc8c3e1b6c62dce57
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