word2vecで抽出したベクトルをどうやってLSTMの入力にするのか

Word2Vecを使い、単語のベクトルを取得することができました。（「武器」という単語の場合下のようなベクトル値）

Python
1[-0.83521295 -0.28624898 -1.0292097   0.72396237 -0.7016398   1.4110817
2  3.0999713   2.3778734  -0.27974084  1.4192667  -1.4471823   0.30815223
3 -0.3338109   2.0789576   1.258025    1.4113365   1.5302899   0.07370136
4 -0.59120005 -0.97646743  1.9287056  -0.8779514  -0.43044272 -0.04155877
5  0.8233795   2.3317962  -2.0878742   0.5622025  -1.7123483   1.4901372
6 -0.44396383  2.0877645  -0.35649067  1.0337054  -0.20362926  0.7004658
7 -1.4913691   0.20281506 -0.7716393  -1.560258    1.7491556   0.2982844
8 -0.9226782  -0.11791933 -0.25265914 -0.8959588  -1.7384142   0.80469984
9  1.5044     -0.5757413   2.6428537   1.0885284   0.08123596  0.48414516
10 -2.016281   -1.1599425  -2.6901712   1.1675878  -2.6061347  -0.3727765
11 -0.02602259  1.634399    1.3512504  -1.8248222  -0.8534779  -1.2651764
12 -1.4676185  -1.0213387  -0.69788027  0.24999262 -2.1940503  -2.2008083
13 -1.1758481  -0.7075061   0.7486807   0.3503354   0.9419837  -0.41840574
14  1.4801087  -1.0039635   0.75365686 -1.643433    1.4257118   0.8053106
15  1.683394    3.6724565  -1.4532638  -0.94858044 -1.0899901  -0.6344482
16  3.196796    2.4706254   3.3416226   0.4479668   1.804741    0.5062174
17 -0.82513404  0.2043877  -1.7344972   3.2254422   1.369495   -0.45640966
18 -1.9569536  -1.2811276   2.4103503  -3.828632    0.4740064   1.3688759
19 -0.42469025 -1.4856509  -0.0515295  -1.7596424  -0.8930942  -2.702192
20 -1.6358776  -1.0675324  -1.156509    2.1970499   0.00638348  2.6477757
21 -0.09469864 -2.0827851   0.48220012 -2.662429   -1.7763835   0.01132854
22  2.1524103  -2.112812    1.5508661  -2.2164502   2.8898547   1.403606
23  2.7141862  -0.4925802  -1.1048652   0.2187857  -1.4265355   0.95878875
24  0.44509652 -1.3268329  -0.1456944   1.6995126   0.11845072  1.2853029
25  2.2593505  -0.32851148  1.0940185   1.5356708  -0.5025179  -1.5646765
26  1.3955706   2.1478813  -2.2317894   2.9628081  -0.56955826 -0.95920485
27 -2.4544597  -0.40129954 -0.32524732  4.5199375   1.9240918   0.3464197
28 -0.7976269   0.33236188 -3.4198818   0.10589605 -2.2375827  -1.9480991
29 -0.56871617  0.87406474  1.6550016  -1.2293994  -2.1155634  -2.1154873
30 -0.24027506  2.549865    1.5643787   1.9113761  -0.196609    0.50878185
31  3.263749    0.06900448  0.10013989 -0.05754792 -2.1755617  -1.2727784
32 -2.8449047   2.4548032   1.4928533   0.8328445  -1.6253561  -0.11280321
33  1.69842    -0.4570201  -2.0684283   0.03515574 -3.0244744   1.267993
34  1.1103452   1.7741485 ]