Instructions to use tesemnikov-av/NER-RUBERT-Per-Loc-Org with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tesemnikov-av/NER-RUBERT-Per-Loc-Org with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tesemnikov-av/NER-RUBERT-Per-Loc-Org")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tesemnikov-av/NER-RUBERT-Per-Loc-Org") model = AutoModelForTokenClassification.from_pretrained("tesemnikov-av/NER-RUBERT-Per-Loc-Org", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from tesemnikov-av/NER-RUBERT-Per-Loc-Org: direct link, hf CLI and curl.
- Browser
- Download file 46.8 MB
-
https://huggingface.co/tesemnikov-av/NER-RUBERT-Per-Loc-Org/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://tesemnikov-av/NER-RUBERT-Per-Loc-Org@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tesemnikov-av/NER-RUBERT-Per-Loc-Org/resolve/refs%2Fpr%2F1/pytorch_model.bin
46.8 MB
- Xet hash:
- 44c739b7315edc0e7f98f106eed400c965544a58b4200553dfe6442ef080361a
- Size of remote file:
- 46.8 MB
- SHA256:
- 3d4ec6a861c2ede1cc112343ee0fa057259f23c62a10d5ad00a2db699ce32d7f
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