Feature Extraction
Transformers
Safetensors
Korean
ko_coref
korean
conversational-memory
coreference-resolution
anaphora-resolution
mention-detection
entity-linking
conversational-ai
real-time
encoder
custom_code
Instructions to use Elda-AI/memory-resoner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elda-AI/memory-resoner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Elda-AI/memory-resoner", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Elda-AI/memory-resoner", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Access to memory-resoner
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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