Instructions to use zeonai/query_embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zeonai/query_embedding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="zeonai/query_embedding")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("zeonai/query_embedding") model = AutoModelForMaskedLM.from_pretrained("zeonai/query_embedding") - Notebooks
- Google Colab
- Kaggle
{'error': 'Model zeonai/query_embedding does not exist'}
#1 opened over 3 years ago
by
Biswa