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-aidayago2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/genre-linking-aidayago2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/genre-linking-aidayago2") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/genre-linking-aidayago2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from facebook/genre-linking-aidayago2: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/facebook/genre-linking-aidayago2/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://facebook/genre-linking-aidayago2/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/facebook/genre-linking-aidayago2/resolve/main/flax_model.msgpack
1.63 GB
- Xet hash:
- e379468f0062f73d4f418eb13580b7f991f2651335a0dbfe248058dc83babfd5
- Size of remote file:
- 1.63 GB
- SHA256:
- 075861e054ab0df7acf47b3baa8b53c9601900c4bd8076b42ee47fb3c6b600a3
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