Instructions to use dandrade/mbart-neutralization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dandrade/mbart-neutralization with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="dandrade/mbart-neutralization")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dandrade/mbart-neutralization") model = AutoModelForSeq2SeqLM.from_pretrained("dandrade/mbart-neutralization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 648793dc48f9fd2696db120289cb70a2e5e76e5cd1b7eab5f5a9ed6fe1c08af6
- Size of remote file:
- 2.44 GB
- SHA256:
- e5bb893a330c79801e7362d2e12c84784fd8a9032d481fcaf53e4d083f2d394f
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