Transformers
PyTorch
TensorFlow
JAX
mbart
text2text-generation
retrieval
entity-retrieval
named-entity-disambiguation
entity-disambiguation
named-entity-linking
entity-linking
Instructions to use facebook/mgenre-wiki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mgenre-wiki with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/mgenre-wiki") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/mgenre-wiki") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 473b437a178c33431671833512b779ec16f76585682f39025259e41ddae4ff49
- Size of remote file:
- 17.3 MB
- SHA256:
- b3ee0172a736cab6f72962b0b782d20ab026c8df11cc0c0bb5feb71689cebf8d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.