Instructions to use nlphuji/mt_coref_en_fr_gender with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlphuji/mt_coref_en_fr_gender with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nlphuji/mt_coref_en_fr_gender") model = AutoModelForSeq2SeqLM.from_pretrained("nlphuji/mt_coref_en_fr_gender") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e5d74b8b8fb6f1f146f4cb8edc417374fdc166e845d67b0b999cbed97a828a9
- Size of remote file:
- 299 MB
- SHA256:
- d4f0727d7a4be0332d3b411c435889a3fc226c09ef83725deb8c858752bfaba2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.