Instructions to use kenshi777/mlm_rubert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kenshi777/mlm_rubert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kenshi777/mlm_rubert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("kenshi777/mlm_rubert") model = AutoModelForMaskedLM.from_pretrained("kenshi777/mlm_rubert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from kenshi777/mlm_rubert: direct link, hf CLI and curl.
- Browser
- Download file 706 kB
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https://huggingface.co/kenshi777/mlm_rubert/resolve/main/tokenizer.json
- Command line
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hf download hf://kenshi777/mlm_rubert/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/kenshi777/mlm_rubert/resolve/main/tokenizer.json
706 kB
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