fromsentence_transformersimportSentenceTransformermodel=SentenceTransformer("Alibaba-NLP/gte-Qwen2-7B-instruct",trust_remote_code=True)documents=["As a general guideline, the CDC's average requirement of protein for women ages 19 to 70 is 46 grams per day. But, as you can see from this chart,...
"""# Initialize the Sentence Transformer model with the provided model name.self.model=SentenceTransformer(model_name)self.model.eval()# Set the model to evaluation mode.# Optimize the model using Intel Extension for PyTorch* in bfloat16self.model=ipex.optimize(self.model,dtype=torch.bfloat16...
代码中 HFRunner 是 huggingface 的原生 runner,也即类似这种代码: from sentence_transformers import SentenceTransformer model = SentenceTransformer("Alibaba-NLP/gte-Qwen2-7B-instruct", trust_remote_code=True) # In case you want to reduce the maximum length: model.max_seq_length = 8192 queries = ...
In order to create sentences embeddings from BERT that are meaningful, SentenceTransformer trains BERT on few sentence related task such as: NLI (natural language inferencing): This task receives two input sentences and outputs either “entailment”, “contradiction” or “neutral”. In case of “...
Hello, I finally managed to use a local embedding model (mxbai-embed-large-v1) using new SentenceTransformerEmbeddingModel class (thenks to developper team for this work !!! ;-)). sparse_embedding_model = SparseEmbeddingModel(ndim=4096) ...
The final embedding, however, is extracted only from the first token, which is often a special token ([CLS] in BERT) in transformer-based models. This token serves as an aggregate representation of the entire sequence due to the self-attention mechanism in transformers, where the representation...
Isn't the max sequence length for all-MiniLM-L6-v2 256 tokens? According to:https://www.sbert.net/docs/sentence_transformer/pretrained_models.html I believe this would result in the 1500 token chunks being truncuated to 256 tokens which means a lot of context is dropped....
此外，Qwen-7B是阿里云研发的通义千问大模型系列中的一个70亿参数规模的模型，它是基于Transformer架构的...
representation of transformerRumour detectionSentence embeddingText classificationRecently, most individuals have preferred accessing the most recent news via social media platforms like Twitter as their primary source of information. Moreover, Twitter enables users to post and distribute tweets quickly and ...
gte或corom，根据您的使用场景对比体验下 此回答整理自钉群“魔搭ModelScope开发者联盟群 ①”...