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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a2b507970c66ce0206eb77e5902a4d939d8a933c8766818fbb9bf1088cf471f
- Size of remote file:
- 5.37 kB
- SHA256:
- 21fbee48d6f775e125bf8d025d306db4bb9b35f10f4079d840f14be8fb274a2e
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