Fill-Mask
Transformers
PyTorch
Russian
rune
russian
bert
encoder
efficient
lightweight
masked-lm
distillation
Instructions to use vvvvtrt/RUNE-4M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vvvvtrt/RUNE-4M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vvvvtrt/RUNE-4M")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("vvvvtrt/RUNE-4M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from vvvvtrt/RUNE-4M: direct link, hf CLI and curl.
- Browser
- Download file 4.75 MB
-
https://huggingface.co/vvvvtrt/RUNE-4M/resolve/main/tokenizer.json
- Command line
-
hf download hf://vvvvtrt/RUNE-4M/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/vvvvtrt/RUNE-4M/resolve/main/tokenizer.json
4.75 MB
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