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
Download tokenizer.json from s-nlp/enoki-openie-encoder: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/s-nlp/enoki-openie-encoder/resolve/main/tokenizer.json
- Command line
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hf download hf://s-nlp/enoki-openie-encoder/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/s-nlp/enoki-openie-encoder/resolve/main/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.