Image Feature Extraction
Transformers
ONNX
Safetensors
English
nomic_bert
feature-extraction
custom_code
Instructions to use nomic-ai/nomic-embed-vision-v1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nomic-ai/nomic-embed-vision-v1.5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="nomic-ai/nomic-embed-vision-v1.5", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nomic-ai/nomic-embed-vision-v1.5", trust_remote_code=True) model = AutoModel.from_pretrained("nomic-ai/nomic-embed-vision-v1.5", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update with header bar (#7)
Verified signature- Update with header bar (1a9ff7dd9f220ccc051d9f0be95fef99c39fa332) Co-authored-by: Andriy Mulyar <andriym@users.noreply.huggingface.co>e3a725b
-
Update README.md
Verified signature351ebb2
-
Update README.md
Verified signature9e4269d
-
Update README.md
Verified signature3720a31 -
Update README.md
Verified signature30a0de2 -
Update README.md
Verified signaturefe4e07e -
Update README.md
Verified signatureab18de3 -
Update README.md
Verified signature07553f3 -
Update README.md
Verified signature3d5cbe7 -
Update README.md
Verified signatureef45330
-
Upload model
Verified signatured803d55