Instructions to use IIC/MEL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IIC/MEL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="IIC/MEL")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("IIC/MEL") model = AutoModel.from_pretrained("IIC/MEL") - Inference
- Notebooks
- Google Colab
- Kaggle
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LICENSE
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MEL NON-COMMERCIAL LICENSE AGREEMENT
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Release Date:
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By using or distributing any portion or element of the MEL Language Model, you agree to be bound by this Agreement, acknowledging the following terms and conditions.
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1. DEFINITIONS
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1.1. Model: Refers to the MEL Language Model, owned by ADIC and by UPM, made available under this Agreement.
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MEL NON-COMMERCIAL LICENSE AGREEMENT
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Release Date: 23/05/2025
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By using or distributing any portion or element of the MEL Language Model, you agree to be bound by this Agreement, acknowledging the following terms and conditions.
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1. DEFINITIONS
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1.1. Model: Refers to the MEL Language Model, owned by ADIC and by UPM, made available under this Agreement.
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