Text Classification
Transformers
Safetensors
English
deberta-v2
nli
natural-language-inference
knowledge-distillation
srl
self-reflective-learning
biomedical-nlp
aethermind
student-model
text-embeddings-inference
Instructions to use samerzaher80/AetherMind_SRL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samerzaher80/AetherMind_SRL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="samerzaher80/AetherMind_SRL")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("samerzaher80/AetherMind_SRL") model = AutoModelForSequenceClassification.from_pretrained("samerzaher80/AetherMind_SRL") - Notebooks
- Google Colab
- Kaggle
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# 📘 AetherMind_SRL – Self-Reflective Learning NLI Model
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Author: Samer
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Organization: AetherMind Project
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Model Type: Knowledge-Distilled Transformer (Student Model)
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Domain: Natural Language Inference (NLI) + Medical Reasoning (ADNI SRL)
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# 📘 AetherMind_SRL – Self-Reflective Learning NLI Model
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Author: Samer S. Najm (Sam)
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Organization: AetherMind Project
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Model Type: Knowledge-Distilled Transformer (Student Model)
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Domain: Natural Language Inference (NLI) + Medical Reasoning (ADNI SRL)
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