Token Classification
Transformers
Safetensors
English
German
modernbert
ner
named-entity-recognition
knowledge-platform
multilingual
patents
scientific-papers
cross-domain
english
german
Generated from Trainer
Eval Results (legacy)
Instructions to use deepakint/knowledge-platform-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepakint/knowledge-platform-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="deepakint/knowledge-platform-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("deepakint/knowledge-platform-ner") model = AutoModelForTokenClassification.from_pretrained("deepakint/knowledge-platform-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa36855e22a43428d74810910d7382386b776ea537de2581d5aee41fc9e0f0fc
- Size of remote file:
- 599 MB
- SHA256:
- ba5fff2467b4b2f5bfc6285f08c3e444b6a44e9a876d36d8afacb6544923db55
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