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Upload config.json with huggingface_hub

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  1. config.json +9 -9
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "name_or_path": "VarunGumma/rotary-indictrans2-en-indic-1B",
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  "activation_dropout": 0.0,
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  "activation_function": "gelu",
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  "auto_map": {
@@ -13,18 +13,18 @@
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  "attention_dropout": 0.0,
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  "attn_implementation": "eager",
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  "bos_token_id": 0,
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- "decoder_attention_heads": 16,
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- "decoder_embed_dim": 1024,
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- "decoder_ffn_dim": 8192,
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  "decoder_layerdrop": 0,
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  "decoder_layers": 18,
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  "decoder_normalize_before": true,
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  "decoder_start_token_id": 2,
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  "decoder_vocab_size": 122672,
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  "dropout": 0.2,
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- "encoder_attention_heads": 16,
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- "encoder_embed_dim": 1024,
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- "encoder_ffn_dim": 8192,
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  "encoder_layerdrop": 0,
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  "encoder_layers": 18,
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  "encoder_normalize_before": true,
@@ -32,7 +32,7 @@
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  "eos_token_id": 2,
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  "init_std": 0.02,
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  "is_encoder_decoder": true,
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- "layernorm_embedding": false,
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  "model_type": "RotaryIndicTrans",
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  "num_hidden_layers": 18,
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  "pad_token_id": 1,
@@ -40,7 +40,7 @@
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  "theta": 10000
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  },
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  "scale_embedding": true,
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- "share_decoder_input_output_embed": false,
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  "torch_dtype": "float32",
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  "transformers_version": "4.44.0",
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  "use_cache": true
 
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  {
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+ "name_or_path": "VarunGumma/rotary-indictrans2-en-indic-dist-200M",
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  "activation_dropout": 0.0,
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  "activation_function": "gelu",
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  "auto_map": {
 
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  "attention_dropout": 0.0,
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  "attn_implementation": "eager",
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  "bos_token_id": 0,
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+ "decoder_attention_heads": 8,
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+ "decoder_embed_dim": 512,
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+ "decoder_ffn_dim": 2048,
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  "decoder_layerdrop": 0,
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  "decoder_layers": 18,
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  "decoder_normalize_before": true,
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  "decoder_start_token_id": 2,
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  "decoder_vocab_size": 122672,
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  "dropout": 0.2,
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+ "encoder_attention_heads": 8,
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+ "encoder_embed_dim": 512,
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+ "encoder_ffn_dim": 2048,
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  "encoder_layerdrop": 0,
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  "encoder_layers": 18,
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  "encoder_normalize_before": true,
 
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  "eos_token_id": 2,
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  "init_std": 0.02,
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  "is_encoder_decoder": true,
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+ "layernorm_embedding": true,
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  "model_type": "RotaryIndicTrans",
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  "num_hidden_layers": 18,
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  "pad_token_id": 1,
 
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  "theta": 10000
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  },
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  "scale_embedding": true,
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+ "share_decoder_input_output_embed": true,
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  "torch_dtype": "float32",
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  "transformers_version": "4.44.0",
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  "use_cache": true