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
- Xet hash:
- decac44974a995137eccc2de47ecefad6b66d62bd59054e6af296ff0204e94d4
- Size of remote file:
- 372 MB
- SHA256:
- 4616912a7cc91c06115ce7ccb9807095516b3d63a560ebf88057f626fb3535d6
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