Instructions to use borisMI/ChGK_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use borisMI/ChGK_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="borisMI/ChGK_NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("borisMI/ChGK_NER") model = AutoModelForTokenClassification.from_pretrained("borisMI/ChGK_NER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 777f04af5ac864ee4dd2f9d9ccf412a271f310ae2cec84bc1baf45f376cf155c
- Size of remote file:
- 5.3 kB
- SHA256:
- 8e2ef064713c0099b7bd5e1f3477ae0883950fc107bb7a9e326a7f7fa75024b1
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