How to use gerardovaldez0113/product-embeddings with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:gerardovaldez0113/product-embeddings') tokenizer = open_clip.get_tokenizer('hf-hub:gerardovaldez0113/product-embeddings')
How to use gerardovaldez0113/product-embeddings with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gerardovaldez0113/product-embeddings", trust_remote_code=True, device_map="auto")
This model is a multimodal embedding model trained for ecommerce products.
Files info
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gerardovaldez0113/product-embeddings", trust_remote_code=True, device_map="auto")