Instructions to use Aleksandar/distilbert-srb-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aleksandar/distilbert-srb-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Aleksandar/distilbert-srb-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Aleksandar/distilbert-srb-ner") model = AutoModelForTokenClassification.from_pretrained("Aleksandar/distilbert-srb-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Aleksandar/distilbert-srb-ner: direct link, hf CLI and curl.
- Browser
- Download file 2.67 kB
-
https://huggingface.co/Aleksandar/distilbert-srb-ner/resolve/main/training_args.bin
- Command line
-
hf download hf://Aleksandar/distilbert-srb-ner/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Aleksandar/distilbert-srb-ner/resolve/main/training_args.bin
2.67 kB
- Xet hash:
- 62b0a2bab4e54a64d92a8ab468d7470a4e8a9de9231e00e35f7c10b9ce479986
- Size of remote file:
- 2.67 kB
- SHA256:
- 98777bcefc0bbc976193ff0ec06b3f642565a966e26eb8b7ca5948002a377b07
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