Instructions to use Andrija/SRoBERTa-base-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andrija/SRoBERTa-base-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Andrija/SRoBERTa-base-NER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Andrija/SRoBERTa-base-NER") model = AutoModelForTokenClassification.from_pretrained("Andrija/SRoBERTa-base-NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Andrija/SRoBERTa-base-NER: direct link, hf CLI and curl.
- Browser
- Download file 2.61 kB
-
https://huggingface.co/Andrija/SRoBERTa-base-NER/resolve/main/training_args.bin
- Command line
-
hf download hf://Andrija/SRoBERTa-base-NER/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Andrija/SRoBERTa-base-NER/resolve/main/training_args.bin
2.61 kB
- Xet hash:
- f3116ccdb487a3917493b01f5561a86e0435c5b1359feab80842efd6cbdfd4f5
- Size of remote file:
- 2.61 kB
- SHA256:
- ee521c993c63d39d5a1b1b9fdcd29fcf7e34dea1756bea7060792e4fd9daad0d
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