Instructions to use rinabuoy/gte-multilingual-base-custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rinabuoy/gte-multilingual-base-custom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="rinabuoy/gte-multilingual-base-custom", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rinabuoy/gte-multilingual-base-custom", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f441aa663972856fd4609711afa08aeecf0e75da8cdee6d10ab96a6d9bae1228
- Size of remote file:
- 17.1 MB
- SHA256:
- e802fe5337779428818439760a1e6161ed36ceed72d4ebcbda9c139a2108fc99
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