Instructions to use facebook/mbart-large-50-many-to-one-mmt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mbart-large-50-many-to-one-mmt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/mbart-large-50-many-to-one-mmt") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/mbart-large-50-many-to-one-mmt") - Notebooks
- Google Colab
- Kaggle
add flax model
Browse files- config.json +3 -3
- flax_model.msgpack +3 -0
config.json
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"decoder_start_token_id": 250020
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}
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},
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"
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"use_cache": true,
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"vocab_size": 250054
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"tokenizer_class": "MBart50Tokenizer"
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}
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"decoder_start_token_id": 250020
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}
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},
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"tokenizer_class": "MBart50Tokenizer",
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"transformers_version": "4.9.0.dev0",
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"use_cache": true,
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"vocab_size": 250054
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}
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flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:6bd994248b21cae378315c57e524123b648a67ccfea94aed3843f47a704f8683
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size 2444536300
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