Feature Extraction
Transformers
Safetensors
qwen3
text-generation
qwen3-embedding
embedding
text-embedding
sentence-similarity
retrieval
awq
int4
quantization
noesis
apache-2.0
text-embeddings-inference
4-bit precision
Instructions to use AMAImedia/Qwen3-Embedding-8B-NOESIS-AWQ-INT4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AMAImedia/Qwen3-Embedding-8B-NOESIS-AWQ-INT4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AMAImedia/Qwen3-Embedding-8B-NOESIS-AWQ-INT4")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("AMAImedia/Qwen3-Embedding-8B-NOESIS-AWQ-INT4") model = AutoModelForCausalLM.from_pretrained("AMAImedia/Qwen3-Embedding-8B-NOESIS-AWQ-INT4") - Notebooks
- Google Colab
- Kaggle
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