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 training_args.bin from tesemnikov-av/NER-RUBERT-Per-Loc-Org: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/tesemnikov-av/NER-RUBERT-Per-Loc-Org/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://tesemnikov-av/NER-RUBERT-Per-Loc-Org@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tesemnikov-av/NER-RUBERT-Per-Loc-Org/resolve/refs%2Fpr%2F1/training_args.bin
2.99 kB
- Xet hash:
- 5c70d2ebac06faeb6c371b4a8a906b5e05fd76dd22cbdd2c2bd1463df8dc3092
- Size of remote file:
- 2.99 kB
- SHA256:
- 79c9be23b612b4ecb1fbdbff15a19ced2180ad0558c46e4adc8d191e96ed813a
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