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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/mgenre-wiki") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/mgenre-wiki", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from facebook/mgenre-wiki: direct link, hf CLI and curl.
- Browser
- Download file 2.47 GB
-
https://huggingface.co/facebook/mgenre-wiki/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://facebook/mgenre-wiki/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/facebook/mgenre-wiki/resolve/main/flax_model.msgpack
2.47 GB
- Xet hash:
- 362c004f104bfe532c45187f59a1a40019fd10d7b7a08b0f018b0f75cb5b027d
- Size of remote file:
- 2.47 GB
- SHA256:
- a3b04a1593fca0606f5f1f11578dfef236da4f9be32ba5a6cc11bbfba72e737f
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