Instructions to use SiningZhou/Qwen3-8B-VM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SiningZhou/Qwen3-8B-VM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SiningZhou/Qwen3-8B-VM")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SiningZhou/Qwen3-8B-VM") model = AutoModelForSequenceClassification.from_pretrained("SiningZhou/Qwen3-8B-VM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e2cb6a78aea4d8d8bb92865f152f9ae0b01423248358068f1911dd2885c75c2
- Size of remote file:
- 11.4 MB
- SHA256:
- 7dc80cb77cc45988855b312b63fe309751f7545133cb59e93fd9b152e73af1b8
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