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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("IIC/MEL") model = AutoModel.from_pretrained("IIC/MEL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# MEL: Legal Spanish Language Model
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# MEL: Legal Spanish Language Model
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65c37bd23c88e35892c9c3a5/VTKPEN-pVnd_ueVf5haFm.png" width="200"/>
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65c37bd23c88e35892c9c3a5/ksmpjFjw1klWr-uyOcxHn.png" width="200"/>
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