Instructions to use aitechguy/bert-ner-cpp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aitechguy/bert-ner-cpp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="aitechguy/bert-ner-cpp")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("aitechguy/bert-ner-cpp") model = AutoModelForTokenClassification.from_pretrained("aitechguy/bert-ner-cpp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from aitechguy/bert-ner-cpp: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/aitechguy/bert-ner-cpp/resolve/7ebe3b0882958a69f5f12a4346c091aba058a112/tokenizer.json
- Command line
-
hf download hf://aitechguy/bert-ner-cpp@7ebe3b0882958a69f5f12a4346c091aba058a112/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/aitechguy/bert-ner-cpp/resolve/7ebe3b0882958a69f5f12a4346c091aba058a112/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.