Fairseq TransformerModel This function uses the Transformer model from the Fairseq library to perform text translation. It first loads the pre-trained model and dictionary, then encodes the source text, translates it using the model, and finally decodes the translated tokens into text. Translation function 2024-12-16 12:17:55 31 views
Fairseq library This function generates a random dictionary with a specified number of tokens and saves it to a file. Dictionaries are commonly used data structures in natural language processing, which map words to unique integer indices. The type of code 2024-12-16 12:17:11 32 views
Fairseq Dictionary This function randomly selects an input text from the Fairseq model and translates it using a pretrained model. First, it loads the target dictionary, then tokenizes the input text, loads the pretrained model, performs the translation, and decodes the output tokens back into text. The type of code 2024-12-16 12:17:09 28 views
Fairseq PyTorch This function uses the Fairseq library's model and dictionary to generate a random sentence. First, it initializes the model, then it creates a random input sequence, uses the model to generate the output sequence, and finally converts the generated token sequence to a string. Fairseq model random sentence generation 2024-12-16 12:16:49 26 views
Fairseq This function takes a word and an embedding matrix as input, and returns the embedding vector of the word. Function 2024-12-16 12:16:35 26 views
Fairseq PyTorch This function uses Fairseq library's models and datasets for random translation. It first randomly selects a model and corpus, then loads the model and dataset, and finally translates the input sentence. The type of code 2024-12-16 12:15:39 26 views
Fairseq Dictionary This function uses Fairseq's Dictionary class to generate a dictionary containing 1000 random words. Each word is unique, formatted as 'word_' followed by its index. Fairseq Dictionary Generation 2024-12-16 12:15:39 16 views
Fairseq TransformerModel This function randomly selects TransformerModel and HubertTokenizer from the Fairseq library to translate input text into another language. The type of code 2024-12-16 12:15:22 19 views
Fairseq Dictionary This function uses the Fairseq library's Dictionary, SourceDataset, TargetDataset, and LanguagePairDataset classes to generate a random sentence. It first randomly generates sequences of tokens for the source and target languages, then converts these sequences into actual words. Next, it places these words into the SourceDataset and TargetDataset, and finally combines them into a LanguagePairDataset. It then randomly samples a sentence from the LanguagePairDataset as the output. The type of code 2024-12-16 12:14:08 10 views
Fairseq PyTorch This function uses the Fairseq library to perform machine translation. It takes an input sentence and source and target languages, and then returns the translated sentence. Machine translation 2024-12-16 12:13:47 27 views
