Feature Extraction
Transformers
Safetensors
qwen3_5_text
embeddings
sentence-similarity
information-retrieval
memory-retrieval
chinese
etsu
qwen3.5
Instructions to use Rebine/Etsu-Embedding-0.8B-Memory with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rebine/Etsu-Embedding-0.8B-Memory with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Rebine/Etsu-Embedding-0.8B-Memory")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Rebine/Etsu-Embedding-0.8B-Memory") model = AutoModel.from_pretrained("Rebine/Etsu-Embedding-0.8B-Memory", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!