Instructions to use armpln/mbart-neutralization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use armpln/mbart-neutralization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("armpln/mbart-neutralization") model = AutoModelForSeq2SeqLM.from_pretrained("armpln/mbart-neutralization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 687ea33e5596dfac1b8e2371b868aeadf78f69eb8c897c95cd5d4afd30d3ab0e
- Size of remote file:
- 5.33 kB
- SHA256:
- a1ce2ea7bb033c74462d9e4dedc75cd0bf3b4e52f5835b1dedf96eb9887b12ee
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.