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
{'eval': {'loss': 2.6390576362609863, 'match': 0.9958954453468323, 'unmatch': 0.9958866238594055}, 'train1k': {'loss': 2.6390702724456787, 'match': 0.9960256814956665, 'unmatch': 0.9960367679595947}}
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