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:
- 6c58432d47d788141e92858e6ec8bffebf4a6bd4b0d3c916b9974bc17ec58869
- Size of remote file:
- 1.34 GB
- SHA256:
- dd9e7120dc352874345175215e8a3d1aa150b2dc86b6fb4afb29cd50b680a58a
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