Instructions to use LimitedMouse/Generative-Embedding-Benchmark-Checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LimitedMouse/Generative-Embedding-Benchmark-Checkpoints with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LimitedMouse/Generative-Embedding-Benchmark-Checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 247 Bytes
1aae1a7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"embed_dim": 2048,
"base_model_name": "Qwen/Qwen3-0.6B",
"adapter_hidden_dim": 1024,
"hidden_dims": [
1024
],
"lora_rank": 0,
"lora_alpha": 32,
"lora_target_modules": [
"q_proj",
"v_proj"
],
"freeze_base": false
} |