Instructions to use alexchen4ai/qwen3-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexchen4ai/qwen3-decoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="alexchen4ai/qwen3-decoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("alexchen4ai/qwen3-decoder") model = AutoModel.from_pretrained("alexchen4ai/qwen3-decoder") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- config.json +1 -1
- model.safetensors +2 -2
config.json
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"head_dim": 128,
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"attention_bias": false,
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"dtype": "bfloat16",
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"head_dim": 128,
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"hidden_size": 4096,
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"initializer_range": 0.02,
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 134218848
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