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:
- 3200d5b6c28f1c4a8fb8f95af4b01441df26a44963ca0d0a644464dca12a1ec1
- Size of remote file:
- 1.63 GB
- SHA256:
- 70c4395813fb7fd0d2bee2bc03dbdf254fd5816f8a50567df01618f7166f8522
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