姒傝堪锛氭帰绱㈠ぇ璇█妯″瀷鐨勭绉橀潰绾?/p>

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寮曡█锛氭彮寮€澶ц瑷€妯″瀷鐨勭绉橀潰绾?/p>

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鍦ㄦ瀯寤鸿瑷€妯″瀷涔嬪墠锛屾垜浠渶瑕佹帉鎻¤瘝姹囪〃鍜岃瘝姹囩粺璁＄殑鍩虹鐭ヨ瘑銆傝瘝姹囪〃鏄瑷€妯″瀷涓墍鏈夊彲鑳借瘝鐨勯泦鍚堬紝鑰岃瘝姹囩粺璁″垯娑夊強璁＄畻璇嶆眹鍦ㄦ枃鏈腑鐨勯鐜囷紝杩欎簺閮芥槸璁粌璇█妯″瀷鐨勫熀纭€銆傞€氳繃鍒涘缓涓€涓畝鍗曠殑璇嶆眹琛ㄧ被锛屾垜浠彲浠ユ湁鏁堝湴绠＄悊鍗曡瘝鍙婂叾鍦ㄦā鍨嬩腑鐨勭储寮曪紝涓哄悗缁殑妯″瀷璁粌鍋氬ソ鍑嗗銆?/p>

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璇█妯″瀷鍙互鍒嗕负鍩轰簬瑙勫垯鍜岀粺璁′袱绫汇€備紶缁熺殑鍩轰簬瑙勫垯鐨勬ā鍨嬩緷璧栦簬绮惧績璁捐鐨勮娉曡鍒欏拰鎵嬪啓鐨勮瘝鍏革紝濡傛煇浜涗紶缁熺殑璇硶鍒嗘瀽鍣ㄣ€傜幇浠ｇ殑澶ц瑷€妯″瀷鍒欐槸鍩轰簬缁熻瀛︿範锛岄€氳繃鍒嗘瀽澶ч噺鏂囨湰鏁版嵁瀛︿範璇█鐨勭粺璁¤寰嬨€傛繁搴﹀涔犳ā鍨嬬殑宕涜捣锛屽Transformer妯″瀷锛屽交搴曟敼鍙樹簡璇█澶勭悊棰嗗煙鐨勭爺绌跺拰搴旂敤銆?/p>

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鏋勫缓鍜岃缁冨ぇ鍨嬭瑷€妯″瀷鐨勫疄璺佃繙姣旇繖澶嶆潅寰楀銆傛垜浠渶瑕侀€夋嫨缂栫▼璇█鍜屾鏋躲€傚湪杩欓噷锛孭ython鍥犲叾涓板瘜鐨勮嚜鐒惰瑷€澶勭悊搴擄紙濡俿paCy銆丯LTK锛夊拰娣卞害瀛︿範搴擄紙濡俆ensorFlow銆丳yTorch锛夎€屾垚涓洪閫夈€傛帴鐫€锛屾暟鎹泦鐨勫噯澶囦笌棰勫鐞嗘垚涓哄叧閿楠ゃ€傛棤璁烘槸涔︾睄銆佹柊闂汇€佽鍧涘笘瀛愮瓑鏂囨湰鏁版嵁锛岄兘闇€瑕佽繘琛岄澶勭悊锛屽寘鎷竻鐞嗘枃鏈€佸垎璇嶃€佺敓鎴愯瘝姹囪〃鍜屾爣璁板寲绛夈€傝繖涓€姝ョ‘淇濅簡鎴戜滑鐨勬ā鍨嬭兘澶熸纭湴鐞嗚В鍜屽鐞嗚緭鍏ョ殑鏁版嵁銆?/p>

鐒跺悗锛屾潵鍒版ā鍨嬭缁冮樁娈点€傚湪杩欎竴姝ワ紝鎴戜滑闇€瑕侀€夋嫨鍚堥€傜殑妯″瀷鏋舵瀯锛屽寰幆绁炵粡缃戠粶锛圧NN锛夈€侀暱鐭湡璁板繂缃戠粶锛圠STM锛夋垨杩戝勾鏉ュぇ鐑殑Transformer妯″瀷銆傛瘡绉嶆ā鍨嬮兘鏈夊叾鐙壒鐨勪紭鐐瑰拰閫傜敤鍦烘櫙銆傞€夋嫨鍚堥€傜殑妯″瀷鏄垚鍔熺殑鍏抽敭銆傝皟鏁存ā鍨嬭秴鍙傛暟涔熸槸涓嶅彲鎴栫己鐨勪竴姝ワ紝杩欏彲浠ュ府鍔╂垜浠紭鍖栨ā鍨嬬殑鎬ц兘銆?/p>

鎺㈢璇█妯″瀷鐨勬瀯寤猴細浠庢暟鎹泦鍒癓STM妯″瀷

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鎺ヤ笅鏉ワ紝鎴戜滑闇€瑕佹瀯寤鸿瘝姹囪〃銆傞€氳繃璁粌鏁版嵁锛屾垜浠彲浠ヤ负鑻辫鍜屽痉璇垎鍒瀯寤鸿瘝姹囪〃锛岃缃渶灏忚瘝棰戜负2銆傝繖鏍凤紝鎴戜滑鍙互纭繚鍙繚鐣欓绻佸嚭鐜扮殑璇嶆眹锛屽噺灏戠綍瑙佽瘝姹囧妯″瀷璁粌鐨勫奖鍝嶃€?/p>

鐒跺悗锛屾垜浠娇鐢˙ucketIterator鏉ュ垱寤烘暟鎹凯浠ｅ櫒銆傝繖涓凯浠ｅ櫒鑳藉鎸夌収婧愭枃鏈殑闀垮害瀵规暟鎹繘琛屾帓搴忓拰鍒嗙粍锛屼粠鑰岀‘淇濆湪璁粌杩囩▼涓瘡涓壒娆＄殑鏁版嵁鍏锋湁鐩镐技鐨勯暱搴︺€傝繖瀵逛簬妯″瀷鐨勮缁冩晥鐜囧拰绋冲畾鎬ц嚦鍏抽噸瑕併€?/p>

鍋囪鎴戜滑宸茬粡瀹氫箟浜嗕竴涓畝鍗曠殑LSTM妯″瀷銆傝繖涓ā鍨嬪寘鎷祵鍏ュ眰銆丩STM灞傚拰鍏ㄨ繛鎺ュ眰銆侺STM妯″瀷鍏锋湁寮哄ぇ鐨勫簭鍒楀鐞嗚兘鍔涳紝鑳藉浠庤緭鍏ユ暟鎹腑鎹曡幏闀挎湡渚濊禆鍏崇郴銆傚湪妯″瀷涓紝鎴戜滑鍙互閫氳繃璋冩暣闅愯棌灞傜淮搴︺€佸眰鏁般€佸祵鍏ョ淮搴︾瓑鍙傛暟鏉ヤ紭鍖栨ā鍨嬬殑鎬ц兘銆?/p>

鍦ㄨ缁冭繃绋嬩腑锛屾垜浠渶瑕佸畾涔変紭鍖栧櫒鍜屾崯澶卞嚱鏁般€傝繖閲屾垜浠€夋嫨Adam浼樺寲鍣ㄥ拰浜ゅ弶鐔垫崯澶卞嚱鏁般€傞€氳繃鍙嶅悜浼犳挱鍜屾搴︿笅闄嶏紝鎴戜滑鍙互璁╂ā鍨嬩粠鏁版嵁涓涔犳湁鏁堢殑璇█缁撴瀯鍜岃寰嬨€傝繖涓繃绋嬫槸娣卞害瀛︿範妯″瀷璁粌鐨勫熀鐭筹紝涔熸槸妯″瀷閫愭笎閫傚簲鏁版嵁銆佷笉鏂彁楂樻€ц兘鐨勫叧閿楠ゃ€?/p>

閫氳繃PyTorch鍜宼orchtext搴擄紝鎴戜滑鍙互杞绘澗鏋勫缓鍜岃缁冭瑷€缈昏瘧妯″瀷銆傚湪杩欎釜杩囩▼涓紝鎴戜滑涓嶄粎鍙互娣卞叆浜嗚В鑷劧璇█澶勭悊鐨勫師鐞嗗拰鎶€鏈紝杩樺彲浠ユ劅鍙楀埌娣卞害瀛︿範妯″瀷鐨勯瓍鍔涘拰娼滃姏銆傞殢鐫€鎶€鏈殑涓嶆柇鍙戝睍锛屾垜浠湁鐞嗙敱鐩镐俊锛屾湭鏉ョ殑璇█缈昏瘧妯″瀷灏嗘洿鍔犲噯纭€侀珮鏁堬紝涓轰汉绫诲甫鏉ユ洿澶氱殑渚垮埄鍜屾儕鍠溿€傝蛋杩涘ぇ璇█妯″瀷鐨勫疄闄呭簲鐢?/p>

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涓€銆佽嚜鍔ㄦ枃鏈敓鎴愪笌鑱婂ぉ鏈哄櫒浜?/h3>

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```python

鍔犺浇棰勮缁冩ā鍨?/p>

model_path = "path/to/pretrained/model"

model.load_state_dict(torch.load(model_path))

瀹氫箟鏂囨湰鐢熸垚鍑芥暟

def generate_text(model, tokenizer, max_length=100):

input_text = "浣犲ソ锛屾垜寰堝ソ锛屼綘鍛紵" 璧峰瀵硅瘽鏂囨湰

input_tensor = torch.tensor([tokenizer.vocab.stoi[tokenizer.start_token]]).view(1, -1).to(device) 灏嗘枃鏈浆鎹负寮犻噺鏍煎紡骞舵寚瀹氳澶?/p>

鐢熸垚鐨勫璇濆唴瀹?= ""

for i in range(max_length):

output = model(input_tensor) 妯″瀷棰勬祴涓嬩竴涓瘝

prob = output[:, -1] 鑾峰彇鏈€鍚庝竴涓瘝鐨勯娴嬫鐜囧垎甯?/p>

token = torch.argmax(prob).item() 閫夋嫨姒傜巼鏈€澶х殑璇嶄綔涓轰笅涓€涓瘝

input_tensor = torch.cat([input_tensor, torch.tensor([[token]])], dim=1) 鏇存柊杈撳叆寮犻噺锛屽姞鍏ユ柊鐢熸垚鐨勮瘝

if tokenizer.vocab.itos[token] == tokenizer.end_token: 鑻ラ亣鍒扮粨鏉熸爣璁帮紝鍋滄鐢熸垚

break

鐢熸垚鐨勫璇濆唴瀹?+= tokenizer.decode(token) + " " 灏嗚瘝瑙ｇ爜骞舵坊鍔犲埌瀵硅瘽鍐呭涓?/p>

return 鐢熸垚鐨勫璇濆唴瀹?strip() 杩斿洖鏁寸悊鍚庣殑瀵硅瘽鍐呭

text = generate_text(model, TRG) 鐢熸垚瀵硅瘽鏂囨湰

print(text) 杈撳嚭鐢熸垚鐨勫璇濇枃鏈?/p>

```

浜屻€佹枃鏈垎绫汇€佹儏鎰熷垎鏋愪笌鍛藉悕瀹炰綋璇嗗埆

闄や簡鐢熸垚鏂囨湰锛屽ぇ璇█妯″瀷杩樺湪鏂囨湰鍒嗙被銆佹儏鎰熷垎鏋愮瓑棰嗗煙澶ф樉韬墜銆傚畠浠彲浠ョ簿纭瘑鍒枃鏈殑鎯呮劅鍊惧悜锛屾湁鏁堟爣娉ㄥ嚭瀹炰綋鍚嶇О绛夈€傝繖浜涘姛鑳戒娇寰楀ぇ璇█妯″瀷鎴愪负澶勭悊娴烽噺鏂囨湰鏁版嵁鐨勫緱鍔涘姪鎵嬨€?/p>涓夈€佹ā鍨嬭瘎浼颁笌浼樺寲

璇勪及澶ц瑷€妯″瀷鐨勬€ц兘鏄紭鍖栬繃绋嬬殑鍏抽敭銆傚噯纭巼銆佸彫鍥炵巼銆丗1鍒嗘暟鍜屽洶鎯戝害绛夋寚鏍囦负鎴戜滑鎻愪緵浜嗘ā鍨嬬殑鎬ц兘鍙嶉銆傝皟鏁磋秴鍙傛暟銆佸皾璇曚笉鍚屼紭鍖栫畻娉曞拰妯″瀷鏋舵瀯锛岄兘鏄紭鍖栨ā鍨嬬殑甯哥敤鎵嬫銆?/p>

```python

绀轰緥浠ｇ爜锛氳瘎浼版ā鍨嬫€ц兘

def evaluate(model, iterator, criterion):

model.eval() 璁剧疆涓鸿瘎浼版ā寮?/p>

epoch_loss = 0 鍒濆鍖栨崯澶卞€?/p>

with torch.no_grad(): 鍏抽棴姊害璁＄畻浠ヨ妭鐪佸唴瀛樺拰鎻愰珮璁＄畻閫熷害

for batch in iterator: 閬嶅巻鏁版嵁闆嗚繘琛屾ā鍨嬭瘎浼?/p>

src = batch.src.to(device) 婧愭暟鎹浆绉诲埌鎸囧畾璁惧锛圕PU鎴朑PU锛変笂澶勭悊

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