Instructions to use flavour/clippy-dinov2-small-jina-embedding-t-en-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flavour/clippy-dinov2-small-jina-embedding-t-en-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="flavour/clippy-dinov2-small-jina-embedding-t-en-v1", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("flavour/clippy-dinov2-small-jina-embedding-t-en-v1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot