Feature Extraction
Transformers
Safetensors
Korean
English
embeddings
text-to-image-retrieval
query-encoder
distillation
int8
embeddinggemma-2
research-release
8-bit precision
Instructions to use ThakiCloud/eg2-tiny-query-a1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThakiCloud/eg2-tiny-query-a1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ThakiCloud/eg2-tiny-query-a1")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ThakiCloud/eg2-tiny-query-a1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ThakiCloud/eg2-tiny-query-a1: direct link, hf CLI and curl.
- Browser
- Download file 2.22 MB
-
https://huggingface.co/ThakiCloud/eg2-tiny-query-a1/resolve/main/tokenizer.json
- Command line
-
hf download hf://ThakiCloud/eg2-tiny-query-a1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ThakiCloud/eg2-tiny-query-a1/resolve/main/tokenizer.json
2.22 MB
File too large to display, you can check the raw version instead.