Text Classification
Transformers
TensorBoard
Safetensors
qwen3
Generated from Trainer
text-embeddings-inference
Instructions to use rd211/Qwen3-0.6B-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rd211/Qwen3-0.6B-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rd211/Qwen3-0.6B-Base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rd211/Qwen3-0.6B-Base") model = AutoModelForSequenceClassification.from_pretrained("rd211/Qwen3-0.6B-Base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5ed998a1bfa55704a74bb27075fc8fddeaa3be03aa4b7c9512c8402f39a0c84
- Size of remote file:
- 5.37 kB
- SHA256:
- 29b028a88a1ff45f83786087e8eb77790a38d20abc6bfb4878dbaf71608ab5b4
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