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 optimizer.pt from tesemnikov-av/NER-RUBERT-Per-Loc-Org: direct link, hf CLI and curl.
- Browser
- Download file 9.17 MB
-
https://huggingface.co/tesemnikov-av/NER-RUBERT-Per-Loc-Org/resolve/main/optimizer.pt
- Command line
-
hf download hf://tesemnikov-av/NER-RUBERT-Per-Loc-Org/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/tesemnikov-av/NER-RUBERT-Per-Loc-Org/resolve/main/optimizer.pt
9.17 MB
- Xet hash:
- 2ab44c787a482d7559e3ef528713401a0f8c16400a8f8623d8315f33cb40d726
- Size of remote file:
- 9.17 MB
- SHA256:
- b89c0fc1b0c8bb29b792ecc4360fa81a5e3052f0555505d503967c278daff29b
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