Feature Extraction
cortiq
multilingual
cmf
embeddings
sentence-similarity
multimodal-embedding
image-feature-extraction
audio-feature-extraction
video-feature-extraction
matryoshka
quantized
Instructions to use infosave/EmbeddingGemma-2-cmf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- cortiq
How to use infosave/EmbeddingGemma-2-cmf with cortiq:
# one Rust binary, no additional dependencies cargo install cortiq-cli # or a prebuilt binary from github.com/infosave2007/cmf/releases hf download infosave/EmbeddingGemma-2-cmf --include "*.cmf" --local-dir . ls *.cmf # some repos ship more than one quantization
cortiq run FILE.cmf --prompt "What is the capital of France?"
cortiq serve FILE.cmf --port 8080 # OpenAI-compatible server
- Notebooks
- Google Colab
- Kaggle
Download examples/text_to_image.jsonl from infosave/EmbeddingGemma-2-cmf: direct link, hf CLI and curl.
- Browser
- Download file 414 Bytes
-
https://huggingface.co/infosave/EmbeddingGemma-2-cmf/resolve/main/examples/text_to_image.jsonl
- Command line
-
hf download hf://infosave/EmbeddingGemma-2-cmf/examples/text_to_image.jsonl
-
curl -L -o text_to_image.jsonl https://huggingface.co/infosave/EmbeddingGemma-2-cmf/resolve/main/examples/text_to_image.jsonl
414 Bytes
| {"text": "a fox on a beach at sunset", "prompt_name": "SearchQuery"} | |
| {"text": "неоновая вывеска ночью под дождём", "prompt_name": "SearchQuery"} | |
| {"text": "a dog cooking", "prompt_name": "SearchQuery"} | |
| {"image": "examples/fox_snow.jpg"} | |
| {"image": "examples/fox_beach.jpg"} | |
| {"image": "examples/neon_sign.jpg"} | |
| {"image": "examples/corgi_chef.jpg"} | |
| {"image": "examples/baikal_poster.jpg"} | |