models/embeddinggemma-300m/README.md

EmbeddingGemma-300m Model Files

This directory should contain all files required for the EmbeddingGemma-300m model in a format compatible with SentenceTransformers.

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1. Required Files

Typically, you need the following files:

• config.json
• pytorch_model.bin or model.safetensors
• tokenizer.json
• tokenizer_config.json
• vocab.txt (if applicable)

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2. How to Obtain the Files

Option 1: Download via Hugging Face Web Interface

1. Visit the EmbeddingGemma-300m model page.
2. Download each file listed above manually.
3. Place all files in the models/embeddinggemma-300m/ directory.

Option 2: Download Using Git

If you have Git LFS installed, you can clone the entire repository:

git lfs install
git clone https://huggingface.co/google/embeddinggemma-300m models/embeddinggemma-300m

This will download all necessary files into the correct directory.

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3. Directory Structure Example

models/
└── embeddinggemma-300m/
    ├── config.json
    ├── pytorch_model.bin
    ├── tokenizer.json
    ├── tokenizer_config.json
    └── vocab.txt

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4. Validation

After placing the files, you can load the model in Python:

from sentence_transformers import SentenceTransformer
model = SentenceTransformer("./models/embeddinggemma-300m")

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Notes

• Ensure all files are present for proper embedding functionality.
• For updates or troubleshooting, refer to the Hugging Face documentation.
• Always verify model license and compatibility before use.