from sentence_transformers import SentenceTransformer, util from PIL import Image # Load CLIP model model = SentenceTransformer('clip-ViT-B-32') # Encode an image img_emb = model.encode(Image.open('two_dogs_in_snow.jpg')) # Encode text descriptions text_emb = model.encode(['Two dogs in...
SentenceTransformers 提供允许将图像和文本嵌入到同一向量空间,通过这中模型可以找到相似的图像以及实现图像搜索,即使用文本搜索图像,反之亦然。 同一向量空间中的文本和图像示例。 要执行图像搜索,需要加载像 CLIP 这样的模型,并使用其encode 方法对图像和文本进行编码。 from sentence_transformers import SentenceTransforme...
fromsentence_transformersimportSentenceTransformer, utilfromPILimportImage#Load CLIP modelmodel = SentenceTransformer('clip-ViT-B-32')#Encode an image:img_emb = model.encode(Image.open('two_dogs_in_snow.jpg'))#Encode text descriptionstext_emb = model.encode(['Two dogs in the snow','A cat o...
from sentence_transformers import SentenceTransformer, util from PIL import Image # Load CLIP model model = SentenceTransformer('clip-ViT-B-32') # Encode an image img_emb = model.encode(Image.open('two_dogs_in_snow.jpg')) # Encode text descriptions text_emb = model.encode(['Two dogs in...
sentence_transformers cross_encoder datasets evaluation losses models tokenizer Asym.py BoW.py CLIPModel.py CNN.py Dense.py Dropout.py LSTM.py LayerNorm.py Normalize.py Pooling.py StaticEmbedding.py Transformer.py WeightedLayerPooling.py WordEmbeddings.py WordWeights.py __init__.py readers LoggingHa...
要执行图像搜索,需要加载像 CLIP 这样的模型,并使用其encode 方法对图像和文本进行编码。 代码语言:javascript 复制 from sentence_transformersimportSentenceTransformer,utilfromPILimportImage # LoadCLIPmodel model=SentenceTransformer('clip-ViT-B-32')# Encode an image ...
clip-ViT-B-32-multilingual-v1- Multilingual text encoder for theclip-ViT-B-32model usingMultilingual Knowledge Distillation. This model can encode text in 50+ languages to match the image vectors from theclip-ViT-B-32model. 使用多语言知识蒸馏的模型 b-V-B-2 模型的多语言文本编码器。该模型能...
It seems that sentence transformer does currently not support truncation on CLIP models, which leads to an error when calling SentenceTransformer("sentence-transformers/clip-ViT-L-14").encode("my l...
Text-Image-Model CLIP You can now encode text and images in the same vector space using the OpenAI CLIP Model. You can use the model like this: from sentence_transformers import SentenceTransformer, util from PIL import Image #Load CLIP model ...
UKPLab/sentence-transformers 版本发布时间: 2021-03-20 05:44:45 UKPLab/sentence-transformers最新发布版本:v3.0.1(2024-06-07 21:01:30)v1.0.2 - Patch for CLIPModel, new Image Examples Bugfix in CLIPModel: Too long inputs raised a RuntimeError. Now they are truncated. New util function:...