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")# 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
| license: mit | |
| datasets: | |
| - eriktks/conll2003 | |
| language: | |
| - en | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - distilbert/distilbert-base-uncased | |
| pipeline_tag: token-classification | |
| tags: | |
| - code | |
| - finance | |
| - legal | |
| - medical | |
| - chemistry | |
| - biology | |