Instructions to use MiVaCod/mbart-neutralization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MiVaCod/mbart-neutralization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MiVaCod/mbart-neutralization") model = AutoModelForSeq2SeqLM.from_pretrained("MiVaCod/mbart-neutralization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- baebdc7ee9f8f918384064926ddf85f260d8b40ca6aa9bc5b1e3dd9d39773eae
- Size of remote file:
- 2.44 GB
- SHA256:
- 942698e53f8bcc847f17b9cc3983aad997ac3cea6d0687dd657922e6fb82e097
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