Instructions to use pbedmar/petitprince-neutralization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pbedmar/petitprince-neutralization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pbedmar/petitprince-neutralization") model = AutoModelForSeq2SeqLM.from_pretrained("pbedmar/petitprince-neutralization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd5645e2a3f83914d9e70b122852f02229855fa749dd7e8ca5b8b9c574a49f0c
- Size of remote file:
- 17.1 MB
- SHA256:
- 5d6a156b73255ce5ba549054dce69077cd46297b06843e69ea24a7af7abfacdf
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