Web>>> from fastNLP import Vocabulary >>> from fastNLP.embeddings.torch import CNNCharEmbedding >>> vocab = Vocabulary ().add_word_lst ("The whether is good .".split ()) >>> embed = CNNCharEmbedding (vocab, embed_size=50) >>> words = torch.LongTensor ( [ [vocab.to_index (word) for word in "The whether is good .".split ()]]) … WebSource code for fastNLP.core.metrics. [docs] class MetricBase(object): """Base class for all metrics. ``MetricBase`` handles validity check of its input dictionaries - ``pred_dict`` and ``target_dict``. ``pred_dict`` is the output of ``forward ()`` or prediction function of a model. ``target_dict`` is the ground truth from DataSet where ``is ...
fastNLP.core.metrics — fastNLP 0.2 documentation
WebDec 30, 2024 · Vocabulary We replace the old BERT vocabulary with a larger one of size 51271 built from the training data, in which we 1) add missing 6800+ Chinese characters (most of them are traditional Chinese characters); 2) remove redundant tokens (e.g. Chinese character tokens with ## prefix); 3) add some English tokens to reduce OOV. WebfastNLP.core.predictor ¶ class fastNLP.core.predictor.Predictor [source] ¶ An interface for predicting outputs based on trained models. It does not care about evaluations of the … broadway school haslingden
fastNLP/static_embedding.py at master · fastnlp/fastNLP · GitHub
Webfrom fastNLP import Vocabulary, logger: from fastNLP.embeddings import TokenEmbedding: from fastNLP.io.file_utils import PRETRAIN_STATIC_FILES, _get_embedding_url, cached_path: from torch import nn: from Modules.MyDropout import MyDropout: def _get_file_name_base_on_postfix(dir_path, postfix): """ 在dir_path中寻找 … WebApr 18, 2024 · 构建Vocabulary from fastNLP import Vocabulary vocab = Vocabulary() vocab.add_word_lst(['复', '旦', '大', '学']) # 加入新的字 vocab.add_word('上海') # `上海` … Web:param vocab: 词表 :class:`~fastNLP.Vocabulary` 类型,读取出现在vocab中的词的embedding。 没有出现在vocab中的词的embedding将通过找到的词的embedding的正 … car body repairs kilmarnock