Instructions to use npvinHnivqn/gte_test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use npvinHnivqn/gte_test_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="npvinHnivqn/gte_test_model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("npvinHnivqn/gte_test_model") model = AutoModel.from_pretrained("npvinHnivqn/gte_test_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c39c9c9a70c241c39a55cd9e3c7c467b7224d5ec06cac5275bf6eafe713d393
- Size of remote file:
- 5.11 kB
- SHA256:
- 464484022f479e68c66fce3b6c3d5416aa37efa1fb153f85a1178e01245e03f1
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