Instructions to use RUNorm/RUNorm-tagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RUNorm/RUNorm-tagger with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="RUNorm/RUNorm-tagger")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("RUNorm/RUNorm-tagger") model = AutoModelForTokenClassification.from_pretrained("RUNorm/RUNorm-tagger") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:707128ea4c32fd7037ff0e49cd9b0234f0311f96e1b69ed413a7e90323b0b9e9
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size 46776528
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