Instructions to use RUNorm/RUNorm-normalizer-big with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RUNorm/RUNorm-normalizer-big with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RUNorm/RUNorm-normalizer-big") model = AutoModelForSeq2SeqLM.from_pretrained("RUNorm/RUNorm-normalizer-big", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from RUNorm/RUNorm-normalizer-big: direct link, hf CLI and curl.
- Browser
- Download file 1.64 GB
-
https://huggingface.co/RUNorm/RUNorm-normalizer-big/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://RUNorm/RUNorm-normalizer-big/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/RUNorm/RUNorm-normalizer-big/resolve/main/pytorch_model.bin
1.64 GB
- Xet hash:
- eb97c541da9fe124dd4da55577938daf3c50a132d326c1060c005161adddf6bd
- Size of remote file:
- 1.64 GB
- SHA256:
- 9e43a92964cbe11121b9854a602c05922575d651ff4a6964a780de68716ba03a
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