Instructions to use leonorv/pt-neural-gender-neutralizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leonorv/pt-neural-gender-neutralizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("leonorv/pt-neural-gender-neutralizer") model = AutoModelForSeq2SeqLM.from_pretrained("leonorv/pt-neural-gender-neutralizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| language: | |
| - pt | |
| thumbnail: "PT Gender-Neutral Rewriter" | |
| tags: | |
| - m2m100 | |
| - pytorch | |
| widget: | |
| - text: "A Dani é simpática." | |
| # pt-neural-gender-neutralizer | |
| ## Introduction | |
| 🌈 pt-neural-gender-neutralizer is a fine-tuned M2M100 model trained on the gender-neutral rewriting task for Portuguese 🌈 | |
| ## Usage | |
| ```python | |
| from transformers import AutoTokenizer, AutoModelForSeq2SeqLM | |
| tokenizer = AutoTokenizer.from_pretrained("leonorv/pt-neural-gender-neutralizer") | |
| model = AutoModelForSeq2SeqLM.from_pretrained("leonorv/pt-neural-gender-neutralizer") | |
| ``` | |
| ## Additional Information | |
| - This model is a neural version of the model hosted on https://github.com/leonorv/pt-gender-neutralizer | |
| - The training data for pt-neural-gender-neutralizer can be found on https://github.com/leonorv/pt-gn-datasets | |