predictions = [] for batch in dataset: predicted_tokens = self._model.generate( input_ids=self.to_tensor(batch["inputs"]), **generate_kwargs ) predicted_tokens = predicted_tokens.cpu().numpy().tolist() predictions.extend( [vocabs["targets"].decode(p) for p in predi...
a tool provided by the RVC-Project, which will be the focus of this tutorial. This software is generously accessible under the MIT software license, available for download from either their official GitHub repository or via the Huggingface repository. ...
having a structured output is preferable as it allows for further programming actions. For instance, when generating a dataset, receiving the response in a specific format such as CSV or JSON is desired. Assuming a prompt can be crafted to elicit a consistent and suitably formatted ...
(connect timeout=10)'))' thrown while requesting HEAD https://huggingface.co/bert-base-uncased/resolve/main/tokenizer_config.json 'HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /bert-base-uncased/resolve/main/config.json (Caused by ConnectTimeoutError(<u...
Before training, we need to construct the dataset information into a tsv file, which includes name (id for each audio), dataset (which dataset the audio belongs to), audio_path (the path of .wav file),caption (the caption of the audio) ,mel_path (the processed melspec file path of ...
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times) andTabNine, which uses GPT-2 finetuned on GitHub code in order to create probabilistic code completion. On thePyTorchside, Huggingface has released aTransformers client(w/ GPT-2 support) of their own, and also created apps such asWrite With Transformerto serve as a text autocompleter....
makemigration是一个命令行工具,用于在数据库中创建模型并执行一次数据插入操作。它是Django框架中的一个重要命令,用于管理数据库迁移。 数据库迁移是指在开发过程中,当模型发生变化时,通过执行迁移命令来同步数据库结构的过程。makemigration命令会根据模型的变化生成一个迁移文件,该文件包含了数据库结构的变化信息。 在...
https://huggingface.co/codeparrot/codeparrot 这里随便打印一条数据(截断了,不然太长了)出来看看,可以看到其实跟我们正常写的代码是一样的。 然而模型是不能直接接收这样的“文本”信息的,所以训练 NLP 模型前通常需要对其进行“分词”,转化为由一串数字表示,可以创建一个分词器: ...
indicates that the questions are paraphrases of each other and LABEL_1 indicates that the questions are not paraphrases. The benchmark dataset used for this task is the Quora Question Pairs dataset within the GLUE benchmark, which contains a collection of question pairs and their corresponding ...