Instructions to use X-D-Lab/MindChat-Qwen-1_8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use X-D-Lab/MindChat-Qwen-1_8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="X-D-Lab/MindChat-Qwen-1_8B", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("X-D-Lab/MindChat-Qwen-1_8B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f3581a5bf0861e9d28d4adf73c9333533011e352408b920218cd8ad6c86c2d9
- Size of remote file:
- 4.92 kB
- SHA256:
- 73f87e95eda5f92d56295806124c482635e490859595ab78190b6caab61836e0
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