Instructions to use angarcme/mbart-neutralization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use angarcme/mbart-neutralization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("angarcme/mbart-neutralization") model = AutoModelForSeq2SeqLM.from_pretrained("angarcme/mbart-neutralization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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model-index:
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- name: mbart-neutralization
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.51.2
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- Pytorch 2.10.0+cu128
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- Datasets 4.0.0
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- Tokenizers 0.21.4
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model-index:
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- name: mbart-neutralization
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results: []
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language:
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- es
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.51.2
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- Pytorch 2.10.0+cu128
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- Datasets 4.0.0
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- Tokenizers 0.21.4
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