Text Classification
Transformers
Safetensors
edlm
feature-extraction
decision-model
system-one
typed-decisions
decision-index
classification
calibrated-probabilities
decisionbench
zero-shot
recommendation
custom_code
Instructions to use nace-ai/drex-dlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nace-ai/drex-dlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nace-ai/drex-dlm", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nace-ai/drex-dlm", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
5 days ago
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Add model card tags: calibrated-probabilities, decisionbench, zero-shot, recommendation
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docs: restore README opener
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docs: link agentic harness integration
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docs: use the approved architecture diagram
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docs: state the 32k context and recommend 16k
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Document the three local runners
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Document the three local runners
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Fix the Ollama build command before publication
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