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m2m100_418m

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Transformers.js
ONNX
m2m_100
text2text-generation
Model card Files Community
sundarsh commited on
Commit
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init

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Files changed (9) hide show
  1. README.md +8 -0
  2. config.json +36 -0
  3. generation_config.json +11 -0
  4. quantize_config.json +135 -0
  5. sentencepiece.bpe.model +3 -0
  6. special_tokens_map.json +109 -0
  7. tokenizer.json +0 -0
  8. tokenizer_config.json +118 -0
  9. vocab.json +0 -0
README.md ADDED
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+ ---
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+ library_name: transformers.js
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+ pipeline_tag: translation
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+ ---
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+
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+ https://huggingface.co/facebook/m2m100_418M with ONNX weights to be compatible with Transformers.js.
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+
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+ Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using [🤗 Optimum](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).
config.json ADDED
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+ {
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+ "_name_or_path": "facebook/m2m100_418M",
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+ "activation_dropout": 0.0,
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+ "activation_function": "relu",
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+ "architectures": [
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+ "M2M100ForConditionalGeneration"
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+ ],
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+ "attention_dropout": 0.1,
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+ "bos_token_id": 0,
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+ "d_model": 1024,
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+ "decoder_attention_heads": 16,
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+ "decoder_ffn_dim": 4096,
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+ "decoder_layers": 12,
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+ "decoder_start_token_id": 2,
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+ "early_stopping": true,
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+ "gradient_checkpointing": false,
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+ "init_std": 0.02,
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+ "is_encoder_decoder": true,
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+ "max_length": 200,
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+ "max_position_embeddings": 1024,
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+ "model_type": "m2m_100",
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+ "num_beams": 5,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 1,
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+ "scale_embedding": true,
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+ "transformers_version": "4.33.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 128112
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+ }
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+ }
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vocab.json ADDED
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