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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8868a636606233c569352e73017b7f478087a26ce90c386f4b75b43fb52f0b25
- Size of remote file:
- 4.92 kB
- SHA256:
- 7e57a8425eda527131b441677c380b03bdfd2eb1ead2cc0bfab158dac678c835
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