Image Feature Extraction
Transformers
ONNX
Safetensors
English
nomic_bert
feature-extraction
custom_code
Instructions to use tomaarsen/nomic-embed-vision-v1.5-st with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tomaarsen/nomic-embed-vision-v1.5-st with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="tomaarsen/nomic-embed-vision-v1.5-st", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("tomaarsen/nomic-embed-vision-v1.5-st", trust_remote_code=True) model = AutoModel.from_pretrained("tomaarsen/nomic-embed-vision-v1.5-st", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "__version__": { | |
| "sentence_transformers": "3.1.0.dev0", | |
| "transformers": "4.41.2", | |
| "pytorch": "2.3.1+cu121" | |
| }, | |
| "prompts": {}, | |
| "default_prompt_name": null, | |
| "similarity_fn_name": "cosine" | |
| } |