Instructions to use Marqo/marqo-ecommerce-embeddings-L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use Marqo/marqo-ecommerce-embeddings-L with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:Marqo/marqo-ecommerce-embeddings-L') tokenizer = open_clip.get_tokenizer('hf-hub:Marqo/marqo-ecommerce-embeddings-L') - Transformers
How to use Marqo/marqo-ecommerce-embeddings-L with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Marqo/marqo-ecommerce-embeddings-L", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Marqo/marqo-ecommerce-embeddings-L: direct link, hf CLI and curl.
- Browser
- Download file 31 Bytes
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https://huggingface.co/Marqo/marqo-ecommerce-embeddings-L/resolve/61eaf1661bf84d77c553336f4b5b9d84e8f81a3f/README.md
- Command line
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hf download hf://Marqo/marqo-ecommerce-embeddings-L@61eaf1661bf84d77c553336f4b5b9d84e8f81a3f/README.md
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curl -L -o README.md https://huggingface.co/Marqo/marqo-ecommerce-embeddings-L/resolve/61eaf1661bf84d77c553336f4b5b9d84e8f81a3f/README.md
31 Bytes
metadata
license: apache-2.0