Feature Extraction
Transformers
Safetensors
qwen3
text-generation
embeddings
nvfp4
blackwell
compressed-tensors
text-embeddings-inference
8-bit precision
Instructions to use andrebadini/Qwen3-Embedding-4B-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andrebadini/Qwen3-Embedding-4B-NVFP4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="andrebadini/Qwen3-Embedding-4B-NVFP4")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("andrebadini/Qwen3-Embedding-4B-NVFP4") model = AutoModelForCausalLM.from_pretrained("andrebadini/Qwen3-Embedding-4B-NVFP4") - Notebooks
- Google Colab
- Kaggle