Feature Extraction
MLX
Safetensors
qwen2
embeddings
sentence-similarity
quantization
omlx
custom_code
Instructions to use TiGa-RCE/gte-Qwen2-1.5B-instruct-MLX-BF16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use TiGa-RCE/gte-Qwen2-1.5B-instruct-MLX-BF16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir gte-Qwen2-1.5B-instruct-MLX-BF16 TiGa-RCE/gte-Qwen2-1.5B-instruct-MLX-BF16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 103 Bytes
1ca6472 | 1 2 3 4 5 6 7 8 | {
"role": "BF16 reference",
"pair_count": 24,
"top1": 1.0,
"mrr": 1.0,
"gate": "reference"
}
|