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# EmbeddingGemma-300m Model Files
This directory should contain all files required for the EmbeddingGemma-300m model in a format compatible with [SentenceTransformers](https://www.sbert.net/).
---
## 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)
---
## 2. How to Obtain the Files
### Option 1: Download via Hugging Face Web Interface
1. Visit the [EmbeddingGemma-300m model page](https://huggingface.co/google/embeddinggemma-300m).
2. Download each file listed above manually.
3. Place all files in the `models/embeddinggemma-300m/` directory.
[](https://huggingface.co/google/embeddinggemma-300m)
### Option 2: Download Using Git
If you have [Git LFS](https://git-lfs.com/) installed, you can clone the entire repository:
```bash
git lfs install
git clone https://huggingface.co/google/embeddinggemma-300m models/embeddinggemma-300m
```
This will download all necessary files into the correct directory.
---
## 3. Directory Structure Example
```
models/
└── embeddinggemma-300m/
├── config.json
├── pytorch_model.bin
├── tokenizer.json
├── tokenizer_config.json
└── vocab.txt
```
---
## 4. Validation
After placing the files, you can load the model in Python:
```python
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("./models/embeddinggemma-300m")
```
---
## Notes
- Ensure all files are present for proper embedding functionality.
- For updates or troubleshooting, refer to the [Hugging Face documentation](https://huggingface.co/docs).
- Always verify model license and compatibility before use.
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