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
Download spiece.model from Marqo/marqo-ecommerce-embeddings-L: direct link, hf CLI and curl.
- Browser
- Download file 792 kB
-
https://huggingface.co/Marqo/marqo-ecommerce-embeddings-L/resolve/e5b81bfbd8064cc7397cd08f87bf79df76d60294/spiece.model
- Command line
-
hf download hf://Marqo/marqo-ecommerce-embeddings-L@e5b81bfbd8064cc7397cd08f87bf79df76d60294/spiece.model
-
curl -L -o spiece.model https://huggingface.co/Marqo/marqo-ecommerce-embeddings-L/resolve/e5b81bfbd8064cc7397cd08f87bf79df76d60294/spiece.model
792 kB
- Xet hash:
- e7463c1c6b7c46ae0de79b004f3d7318bf4307ef0bef4de3be2e38ae80fab160
- Size of remote file:
- 792 kB
- SHA256:
- d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
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