Text Classification
Transformers
TensorBoard
Safetensors
qwen3
Generated from Trainer
text-embeddings-inference
Instructions to use rd211/Qwen3-0.6B-Instruct-RAG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rd211/Qwen3-0.6B-Instruct-RAG with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rd211/Qwen3-0.6B-Instruct-RAG")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rd211/Qwen3-0.6B-Instruct-RAG") model = AutoModelForSequenceClassification.from_pretrained("rd211/Qwen3-0.6B-Instruct-RAG") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6aec39639a0a2d1ca966356b8c2b8426a484f80ff80731f44fa8482040713bdf
- Size of remote file:
- 11.4 MB
- SHA256:
- aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
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