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 pytorch_model.bin from joelniklaus/legal-lithuanian-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/joelniklaus/legal-lithuanian-roberta-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://joelniklaus/legal-lithuanian-roberta-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/joelniklaus/legal-lithuanian-roberta-base/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- bddef6df0230381fb5250e95f57317cedfee3771dd5489e04faac5d477a6f253
- Size of remote file:
- 443 MB
- SHA256:
- 68e7f7dd051789b3791402b38828eea1e92ba1790c7526aa20bf6eea9d942aaf
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