Instructions to use OpenVINO/Qwen3-Embedding-0.6B-fp16-ov with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenVINO/Qwen3-Embedding-0.6B-fp16-ov with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OpenVINO/Qwen3-Embedding-0.6B-fp16-ov")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("OpenVINO/Qwen3-Embedding-0.6B-fp16-ov") model = AutoModelForCausalLM.from_pretrained("OpenVINO/Qwen3-Embedding-0.6B-fp16-ov", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add pooling config and update README
#2
by MichalKulakowski - opened
No description provided.
MichalKulakowski changed pull request status to open
AndreyDmitrishin changed pull request status to merged