Instructions to use RUPunct/RUPunct_big with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RUPunct/RUPunct_big with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="RUPunct/RUPunct_big")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("RUPunct/RUPunct_big") model = AutoModelForTokenClassification.from_pretrained("RUPunct/RUPunct_big", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from RUPunct/RUPunct_big: direct link, hf CLI and curl.
- Browser
- Download file 711 MB
-
https://huggingface.co/RUPunct/RUPunct_big/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://RUPunct/RUPunct_big/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/RUPunct/RUPunct_big/resolve/main/pytorch_model.bin
711 MB
- Xet hash:
- 6b098045f982890c4051efd6db9f37d75463c23f0cf195e1a25e44afe77534ba
- Size of remote file:
- 711 MB
- SHA256:
- 7fb3d90660563f7206e8135b15cecea7867227844ee0381aa8b10b383ebe6e03
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