Transformers
PyTorch
TensorFlow
JAX
English
bart
text2text-generation
retrieval
entity-retrieval
named-entity-disambiguation
entity-disambiguation
named-entity-linking
entity-linking
Instructions to use facebook/genre-kilt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/genre-kilt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/genre-kilt") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/genre-kilt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c852ec1f86e30fdc3e5c619dba6e5ac5299f509312a54fbe2ec7d3f50b010fa8
- Size of remote file:
- 1.63 GB
- SHA256:
- 6e36d759e534796ca32392af8b96fc60347659062556cd4dd110a9af9fffa3f0
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