Instructions to use flavour/vtde-dinov2-small-bge-small-en-v1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flavour/vtde-dinov2-small-bge-small-en-v1.5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="flavour/vtde-dinov2-small-bge-small-en-v1.5")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("flavour/vtde-dinov2-small-bge-small-en-v1.5") model = AutoModel.from_pretrained("flavour/vtde-dinov2-small-bge-small-en-v1.5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from flavour/vtde-dinov2-small-bge-small-en-v1.5: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/flavour/vtde-dinov2-small-bge-small-en-v1.5/resolve/main/tokenizer.json
- Command line
-
hf download hf://flavour/vtde-dinov2-small-bge-small-en-v1.5/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/flavour/vtde-dinov2-small-bge-small-en-v1.5/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.