Sentence Transformers 是一个 Python 库,用于使用和训练各种应用的嵌入模型,例如检索增强生成 (RAG)、语义搜索、语义文本相似度、释义挖掘 (paraphrase mi...
In the rest of this tutorial we will be using CodeParrot model and data as an example. The training data requires some preprocessing. First, you need to convert it into a loose json format, with one json containing a text sample per line. If you're using 🤗 Datasets, here ...
In transformers, this preprocessing is often handled with tokenizers. Tokenizers can be loaded in the same way as models, using the AutoTokenizer class. Be sure that you load the tokenizer that matches the model you want to use! from transformers import TFAutoModel, AutoTokenizer ...
Normalization: includes all preprocessing operations on raw text data. This was the step at which we have made the most changes, because removing certain details can either change the meaning of the text or leave it the same, depending on the language. For example, the standard...
Normalization: includes all preprocessing operations on raw text data. This was the step at which we have made the most changes, because removing certain details can either change the meaning of the text or leave it the same, depending on the language. For example, the standard ...
The training data requires some preprocessing. First, you need to convert it into a loose json format, with one json containing a text sample per line. If you're using 🤗 Datasets, here is an example on how to do that (always inside Megatron-LM folder): from datasets impo...
Normalization: includes all preprocessing operations on raw text data. This was the step at which we have made the most changes, because removing certain details can either change the meaning of the text or leave it the same, depending on the language. For example, the standard ...
The training data requires some preprocessing. First, you need to convert it into a loose json format, with one json containing a text sample per line. If you're using 🤗 Datasets, here is an example on how to do that (always inside Megatron-LM folder): from datasets im...
The training data requires some preprocessing. First, you need to convert it into a loose json format, with one json containing a text sample per line. If you're using 🤗 Datasets, here is an example on how to do that (always inside Megatron-LM folder): from datasets impo...
Normalization: includes all preprocessing operations on raw text data. This was the step at which we have made the most changes, because removing certain details can either change the meaning of the text or leave it the same, depending on the language. For example, the standard ...