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-linking-blink with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/genre-linking-blink with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/genre-linking-blink") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/genre-linking-blink") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03336a6f3b4dcf136abefa922f3fe8f8dbd7a240b248cf9bf764bb55365b700f
- Size of remote file:
- 1.63 GB
- SHA256:
- cf9757979e6e7e7071c721bdf46f289498c0b4ca0dd8fd307f02f4b0ed222c0a
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