Instructions to use Mathlesage/qwenV3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mathlesage/qwenV3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Mathlesage/qwenV3")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Mathlesage/qwenV3") model = AutoModel.from_pretrained("Mathlesage/qwenV3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c202fbd78a790fd2fca7fbf182e93b23d3c07ca812c1042b546b111cf0058d31
- Size of remote file:
- 11.4 MB
- SHA256:
- eb317ef462ff88e8e328ef781c26065f57216f2ad746111be95b21f9053617ff
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