Instructions to use davidpedem/mbart-neutralization_adv-ele with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davidpedem/mbart-neutralization_adv-ele with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("davidpedem/mbart-neutralization_adv-ele") model = AutoModelForSeq2SeqLM.from_pretrained("davidpedem/mbart-neutralization_adv-ele") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f73a1e84b58481a661083ac2df2ab0c6998fc38dc35c66646dd9380a3879091
- Size of remote file:
- 5.05 kB
- SHA256:
- aeee1f106eaa8858c484c1e20e474d1d0d02e1e53d822e695dbe327b9bb9993a
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