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:
- fa86061e679722310ccc7326c3b6a524250d1d2774ee4ee608b72b4747209422
- Size of remote file:
- 596 MB
- SHA256:
- 046a4c7f470b0ae38d02d8e272ddb1f8c0d35af01c728cbb7c362efec977614b
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