Instructions to use joelniklaus/legal-lithuanian-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joelniklaus/legal-lithuanian-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="joelniklaus/legal-lithuanian-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("joelniklaus/legal-lithuanian-roberta-base") model = AutoModelForMaskedLM.from_pretrained("joelniklaus/legal-lithuanian-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from joelniklaus/legal-lithuanian-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/joelniklaus/legal-lithuanian-roberta-base/resolve/main/training_args.bin
- Command line
-
hf download hf://joelniklaus/legal-lithuanian-roberta-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/joelniklaus/legal-lithuanian-roberta-base/resolve/main/training_args.bin
3.44 kB
- Xet hash:
- fcf7e5ede66228062ee277a94d91894950df37d0e116f1b9d7666d02db680492
- Size of remote file:
- 3.44 kB
- SHA256:
- dcccc81ee4b8b36e817b0bc1898745f6812010dd864ca4597d8c4f4fbfc25a02
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