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:
# 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
- Xet hash:
- 60069b0799d350e85450d05dbf41889ef7abe8d378aa1b591fa6a0783fc0d474
- Size of remote file:
- 2.61 GB
- SHA256:
- 8efc7166e45945cb23eb935d2a947f8c14338e0534d01d0440e097580a465b0f
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