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 rng_state.pth from tesemnikov-av/NER-RUBERT-Per-Loc-Org: direct link, hf CLI and curl.
- Browser
- Download file 14.5 kB
-
https://huggingface.co/tesemnikov-av/NER-RUBERT-Per-Loc-Org/resolve/main/rng_state.pth
- Command line
-
hf download hf://tesemnikov-av/NER-RUBERT-Per-Loc-Org/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/tesemnikov-av/NER-RUBERT-Per-Loc-Org/resolve/main/rng_state.pth
14.5 kB
- Xet hash:
- 3c429d7a427a99dcba42a77ec08be15acb1fe666aec7a2fce96faa5f144a1fe9
- Size of remote file:
- 14.5 kB
- SHA256:
- 508bb132e0fdb60a516aaa0af7ee90cbf0cdca97e645f54532cc14ed19a0a286
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