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:
- 6da8c986b903131573d4d8033cedb4f187387b2bf9ecee59df84287bae51b99f
- Size of remote file:
- 2.47 GB
- SHA256:
- 6c1a05450995f9b3b1ddb146271c77f71574833346c7fbc10322328a3719d6a2
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