Instructions to use dondosss/rubert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dondosss/rubert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dondosss/rubert-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dondosss/rubert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("dondosss/rubert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dondosss/rubert-finetuned-ner: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/dondosss/rubert-finetuned-ner/resolve/main/training_args.bin
- Command line
-
hf download hf://dondosss/rubert-finetuned-ner/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dondosss/rubert-finetuned-ner/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- 30df5ee95c4cdbdf754ac2990bf63a36e595dad297fd364ca5857b0444d9c8e6
- Size of remote file:
- 4.98 kB
- SHA256:
- 4f6938124b107993d9ca55808b92e12d869ae2c4edc5efa9caed158608edbb17
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