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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**Model Name:** MEL (Modelo de Español Legal)
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**Model Type:** Encoder-only Transformer
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**Language:** Spanish
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**Model Name:** MEL (Modelo de Español Legal)
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**Model Type:** Encoder-only Transformer
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**Language:** Spanish
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