Instructions to use TuringGame/Qwen3-0.6B-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TuringGame/Qwen3-0.6B-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TuringGame/Qwen3-0.6B-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TuringGame/Qwen3-0.6B-classifier") model = AutoModelForSequenceClassification.from_pretrained("TuringGame/Qwen3-0.6B-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from TuringGame/Qwen3-0.6B-classifier: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/TuringGame/Qwen3-0.6B-classifier/resolve/main/tokenizer.json
- Command line
-
hf download hf://TuringGame/Qwen3-0.6B-classifier/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/TuringGame/Qwen3-0.6B-classifier/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 15675fe95d6f37ba5b16365e92a5350f5a9f80f87a0754258dd2f60df14589eb
- Size of remote file:
- 11.4 MB
- SHA256:
- dc68ef9483e17b8453514159d4e669d963d343267a9407d51bfe1a5c3d81e7a3
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