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 tokenizer.json from facebook/mgenre-wiki: direct link, hf CLI and curl.
- Browser
- Download file 17.3 MB
-
https://huggingface.co/facebook/mgenre-wiki/resolve/main/tokenizer.json
- Command line
-
hf download hf://facebook/mgenre-wiki/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/facebook/mgenre-wiki/resolve/main/tokenizer.json
17.3 MB
- Xet hash:
- 473b437a178c33431671833512b779ec16f76585682f39025259e41ddae4ff49
- Size of remote file:
- 17.3 MB
- SHA256:
- b3ee0172a736cab6f72962b0b782d20ab026c8df11cc0c0bb5feb71689cebf8d
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