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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5499b4facb7a9b2d9e239351abf3d709c7769bf1ddf76b8260671df59e65bf53
- Size of remote file:
- 1.7 GB
- SHA256:
- 7ccea369e5711dc1661d78942405ce1ed483b87c60e887b409494c2e84cd90a1
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