Instructions to use joelniklaus/legal-greek-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joelniklaus/legal-greek-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="joelniklaus/legal-greek-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("joelniklaus/legal-greek-roberta-base") model = AutoModelForMaskedLM.from_pretrained("joelniklaus/legal-greek-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from joelniklaus/legal-greek-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/joelniklaus/legal-greek-roberta-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://joelniklaus/legal-greek-roberta-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/joelniklaus/legal-greek-roberta-base/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- 01020025a44c66c7db5a54805b6f8d1136fece859366a1cfc6f314a70cb7d42a
- Size of remote file:
- 443 MB
- SHA256:
- a4eb15688ac37c05ae109930857fe43922631fd20c177bb0867b2a67e6c95a4a
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