Feature Extraction
Transformers
Safetensors
English
enoki-openie
openie
open-information-extraction
information-extraction
triplet-extraction
relation-extraction
modernbert
enoki
igl
custom_code
Instructions to use s-nlp/enoki-openie-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use s-nlp/enoki-openie-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="s-nlp/enoki-openie-encoder", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("s-nlp/enoki-openie-encoder", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md
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Explain LLM-free fact extraction and hallucination detection role
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Link paper through Hugging Face Papers
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Use extract_triples as the single inference API
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