Token Classification
Transformers
Safetensors
Korean
English
Japanese
korean
intent-detection
speech-act
named-entity-recognition
span-extraction
conversational-ai
real-time
encoder
deberta
Instructions to use Elda-AI/intenter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elda-AI/intenter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Elda-AI/intenter")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Elda-AI/intenter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Access to Intenter
Intenter is released for research, evaluation, internal validation and education. Tell us who you are and we will grant access.
By requesting access you agree to the Elda Community License 1.0: no commercial use, no redistribution of the weights or derivatives, and attribution as "Built with Elda". Commercial licensing is available on request.
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