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 training_args.bin from TuringGame/Qwen3-0.6B-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/TuringGame/Qwen3-0.6B-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://TuringGame/Qwen3-0.6B-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/TuringGame/Qwen3-0.6B-classifier/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- e759ed65d576cf7faf51ba0b85234e54cf4529b784e811eea2a46138fa73ef36
- Size of remote file:
- 5.37 kB
- SHA256:
- 60b57ac43c7b97f44258c286db0ce2dbb04bcccf3022b41036f17a281e83a728
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