Instructions to use Marqo/gcl-e5-large-v2-113-gs-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Marqo/gcl-e5-large-v2-113-gs-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Marqo/gcl-e5-large-v2-113-gs-full")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Marqo/gcl-e5-large-v2-113-gs-full") model = AutoModel.from_pretrained("Marqo/gcl-e5-large-v2-113-gs-full") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69e4b7b79c5f7768b0cf3e64458f1910c21e20bf5f7c98e9b476ddef2ae6d035
- Size of remote file:
- 1.34 GB
- SHA256:
- 8bf3cf238074f31dfed3a3e1209573a3bf680d2a7d6d480683bc407e4376a80c
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