Instructions to use bnsapa/cybersecurity-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bnsapa/cybersecurity-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bnsapa/cybersecurity-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bnsapa/cybersecurity-ner") model = AutoModelForTokenClassification.from_pretrained("bnsapa/cybersecurity-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from bnsapa/cybersecurity-ner: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/bnsapa/cybersecurity-ner/resolve/main/training_args.bin
- Command line
-
hf download hf://bnsapa/cybersecurity-ner/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bnsapa/cybersecurity-ner/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 7ee4c507cc0d8ed6ecc849b66de538bcd8e9e511541df7f680d4da955651f9ea
- Size of remote file:
- 4.6 kB
- SHA256:
- 89d6e5b88f53233b2c6ed3129a6e10b75463933582cfd0858d1ae708f6b69d75
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