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)# 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
Integrate with Sentence Transformers v5.4
2
#10 opened 4 months ago
by
tomaarsen
The example python code just doesn't work anymore?
1
#9 opened 7 months ago
by
TheoryOfMadness
onnx weight not work when using nodejs with @xenova/transformers 2.x
#4 opened about 2 years ago
by
wujohns