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:
- ab4e828ad5e782f42313347699a226c6d7c87394fc0346c950d626032d96b474
- Size of remote file:
- 5.11 kB
- SHA256:
- 735cde679283bd6c8a5bfca3097c89ae6d028966fd68266204866ca5b97b61c0
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