xiaotinghe commited on
Commit
4f28c80
1 Parent(s): 5346428

dialogue-rewriter

Browse files
README.md ADDED
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+ ---
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+ inference:
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+ parameters:
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+ max_length: 512
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+ temperature: 0.7
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+ top_p: 1
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+ widget:
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+ - text: <extra_id_0> loghub是什么<extra_id_1> AWS 上的loghub解决方案可帮助组织在单个控制面板上收集、分析和显示 Amazon CloudWatch Logs。该解决方案可整合、管理和分析来自各种来源的日志文件,例如访问、配置更改和计费事件的审计日志。您也可以从多个账户和 AWS 区域收集 Amazon CloudWatch Logs。<extra_id_0> 它的优点是什么?
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+ - text: <extra_id_0> 基督山伯爵讲的什么故事<extra_id_1> 电影版的基督山伯爵里面的台词太经典了<extra_id_0> 是呢剧情是啥
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+ - text: <extra_id_0> 你知道明朝那些事儿吗<extra_id_1> 有趣有趣寓教于乐的典型相当不错啊<extra_id_0> 它都讲了什么故事呀
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+ language:
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+ - en
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+ - zh
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+ ---
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+
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+ ## Usage
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+ ```python
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+ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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+ import torch
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+ model_name = 'csdc-atl/doc2query'
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+ tokenizer = AutoTokenizer.from_pretrained(model_name)
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+ model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
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+ def create_queries(history, next_question):
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+ inputs_ids = []
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+ for line in history:
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+ inputs_ids.extend([32127]+tokenizer.encode(line[0], add_special_tokens=False)+[32126]+tokenizer.encode(line[1], add_special_tokens=False))
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+ inputs_ids.extend([32127]+tokenizer.encode(next_question, add_special_tokens=False))
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+ inputs_ids = inputs_ids + [1]
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+ inputs_ids = torch.Tensor([inputs_ids]).long()
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+ with torch.no_grad():
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+ sampling_outputs = model.generate(
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+ input_ids=inputs_ids,
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+ max_length=512,
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+ do_sample=True,
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+ top_p=0.95,
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+ top_k=10
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+ )
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+ print("\nSampling Outputs:")
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+ for i in range(len(sampling_outputs)):
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+ rewrite_question = tokenizer.decode(sampling_outputs[i], skip_special_tokens=True)
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+ print(f'{i + 1}: {rewrite_question}')
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+ history = [['loghub是什么', 'AWS 上的loghub解决方案可帮助组织在单个控制面板上收集、分析和显示 Amazon CloudWatch Logs。该解决方案可整合、管理和分析来自各种来源的日志文件,例如访问、配置更改和计费事件的审计日志。您也可以从多个账户和 AWS 区域收集 Amazon CloudWatch Logs。']]
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+ next_question = '它的优点是什么?'
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+ create_queries(history, next_question)
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+ # 1: loghub解决方案的优点是什么?
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+ ```
config.json ADDED
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+ "_name_or_path": "output/Langboat-mengzi-t5-base",
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+ ],
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+ "d_ff": 2048,
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+ "d_kv": 64,
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+ "d_model": 768,
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+ "decoder_start_token_id": 0,
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+ "dense_act_fn": "gelu_new",
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+ "dropout_rate": 0.1,
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+ "eos_token_id": 1,
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+ "feed_forward_proj": "gated-gelu",
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+ "gradient_checkpointing": false,
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+ "initializer_factor": 1.0,
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+ "is_encoder_decoder": true,
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+ "is_gated_act": true,
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+ "layer_norm_epsilon": 1e-06,
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+ "model_type": "t5",
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+ "num_decoder_layers": 12,
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+ "num_heads": 12,
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+ "num_layers": 12,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "relative_attention_max_distance": 128,
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+ "relative_attention_num_buckets": 32,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.31.0",
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+ "use_cache": true,
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+ "vocab_size": 32128
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+ }
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+ }
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