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 model.onnx from aitechguy/bert-ner-cpp: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/aitechguy/bert-ner-cpp/resolve/main/model.onnx
- Command line
-
hf download hf://aitechguy/bert-ner-cpp/model.onnx
-
curl -L -o model.onnx https://huggingface.co/aitechguy/bert-ner-cpp/resolve/main/model.onnx
17.5 MB
- Xet hash:
- 70c623f142e90321f8ee3b18728aea7332c4a9441135735ced76099b44d89bc1
- Size of remote file:
- 17.5 MB
- SHA256:
- 899525b7cdc7a843362af824c3e613c9bfa3865f869700086ea8bc76a7be871c
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