Fill-Mask
Transformers
Safetensors
Greek
English
roberta
greek
english
legal
bilingual
masked-lm
multilingual
Instructions to use novelcore/gem-roberta-bilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use novelcore/gem-roberta-bilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="novelcore/gem-roberta-bilingual")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("novelcore/gem-roberta-bilingual") model = AutoModelForMaskedLM.from_pretrained("novelcore/gem-roberta-bilingual", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from novelcore/gem-roberta-bilingual: direct link, hf CLI and curl.
- Browser
- Download file 4.86 MB
-
https://huggingface.co/novelcore/gem-roberta-bilingual/resolve/main/tokenizer.json
- Command line
-
hf download hf://novelcore/gem-roberta-bilingual/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/novelcore/gem-roberta-bilingual/resolve/main/tokenizer.json
4.86 MB
File too large to display, you can check the raw version instead.