xlm_roberta_large / model.weights.json
IMvision12's picture
Upload folder using huggingface_hub
9fe894a verified
Raw
History Blame Contribute Delete
21.1 kB
{
"metadata": {
"total_size": 2239561728.0
},
"weight_map": {
"/layers/roberta_embeddings/layer_norm/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_embeddings/position_embeddings/vars": "xlm_roberta_large_00000.weights.h5",
"/layers/roberta_embeddings/token_type_embeddings/vars": "xlm_roberta_large_00000.weights.h5",
"/layers/roberta_embeddings/word_embeddings/vars": "xlm_roberta_large_00000.weights.h5",
"/layers/roberta_self_attention/key/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention/query/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention/value/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_1/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_2/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_1/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_1/key/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_1/query/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_1/value/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_3/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_2/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_4/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_5/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_3/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_2/key/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_2/query/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_2/value/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_6/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_4/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_7/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_8/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_5/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_3/key/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_3/query/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_3/value/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_9/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_6/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_10/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_11/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_7/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_4/key/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_4/query/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_4/value/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_12/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_8/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_13/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_14/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_9/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_5/key/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_5/query/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_5/value/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_15/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_10/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_16/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_17/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_11/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_6/key/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_6/query/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_6/value/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_18/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_12/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_19/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_20/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_13/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_7/key/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_7/query/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_7/value/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_21/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_14/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_22/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_23/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_15/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_8/key/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_8/query/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_8/value/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_24/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_16/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_25/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_26/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_17/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_9/key/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_9/query/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_9/value/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_27/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_18/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_28/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_29/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_19/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_10/key/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_10/query/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_10/value/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_30/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_20/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_31/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_32/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_21/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_11/key/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_11/query/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_11/value/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_33/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_22/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_34/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_35/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_23/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_12/key/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_12/query/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_12/value/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_36/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_24/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_37/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_38/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_25/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_13/key/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_13/query/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_13/value/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_39/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_26/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_40/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_41/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_27/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_14/key/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_14/query/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_14/value/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_42/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_28/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_43/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_44/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_29/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_15/key/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_15/query/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/roberta_self_attention_15/value/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_45/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/layer_normalization_30/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_46/vars": [
"xlm_roberta_large_00000.weights.h5"
],
"/layers/dense_47/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/layer_normalization_31/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_16/key/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_16/query/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_16/value/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_48/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/layer_normalization_32/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_49/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_50/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/layer_normalization_33/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_17/key/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_17/query/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_17/value/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_51/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/layer_normalization_34/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_52/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_53/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/layer_normalization_35/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_18/key/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_18/query/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_18/value/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_54/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/layer_normalization_36/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_55/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_56/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/layer_normalization_37/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_19/key/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_19/query/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_19/value/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_57/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/layer_normalization_38/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_58/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_59/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/layer_normalization_39/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_20/key/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_20/query/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_20/value/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_60/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/layer_normalization_40/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_61/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_62/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/layer_normalization_41/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_21/key/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_21/query/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_21/value/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_63/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/layer_normalization_42/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_64/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_65/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/layer_normalization_43/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_22/key/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_22/query/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_22/value/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_66/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/layer_normalization_44/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_67/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_68/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/layer_normalization_45/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_23/key/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_23/query/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/roberta_self_attention_23/value/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_69/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/layer_normalization_46/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_70/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_71/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/layer_normalization_47/vars": [
"xlm_roberta_large_00001.weights.h5"
],
"/layers/dense_72/vars": [
"xlm_roberta_large_00001.weights.h5"
]
}
}