Feature Extraction
Transformers
Safetensors
qwen3
fp8
compressed-tensors
llm-compressor
vllm
embedding
text-embeddings-inference
Instructions to use DCC-BS/Qwen3-Embedding-4B-FP8-Dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DCC-BS/Qwen3-Embedding-4B-FP8-Dynamic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="DCC-BS/Qwen3-Embedding-4B-FP8-Dynamic")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("DCC-BS/Qwen3-Embedding-4B-FP8-Dynamic") model = AutoModel.from_pretrained("DCC-BS/Qwen3-Embedding-4B-FP8-Dynamic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_id": "Qwen/Qwen3-Embedding-4B", | |
| "kind": "embedding", | |
| "scheme": "FP8_DYNAMIC", | |
| "ignore": [ | |
| "lm_head" | |
| ], | |
| "source_bytes": 8043592088, | |
| "output_bytes": 4412516640, | |
| "seconds": 5.561132976989029, | |
| "copied_assets": [ | |
| "modules.json", | |
| "config_sentence_transformers.json", | |
| "1_Pooling/config.json" | |
| ], | |
| "created_at": "2026-08-05T12:28:36+00:00" | |
| } | |