Feature Extraction
Transformers
ONNX
multilingual
qwen3
text-generation
teradata
byom
embeddings
qwen
decoder
text-embeddings-inference
Instructions to use Teradata/qwen3-embedding-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Teradata/qwen3-embedding-0.6b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Teradata/qwen3-embedding-0.6b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Teradata/qwen3-embedding-0.6b") model = AutoModelForCausalLM.from_pretrained("Teradata/qwen3-embedding-0.6b") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token_id": 151643, | |
| "eos_token_id": 151643, | |
| "max_new_tokens": 2048, | |
| "transformers_version": "4.51.3" | |
| } | |