Instructions to use tapxc3/Qwen2-1.5B-Instruct_test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tapxc3/Qwen2-1.5B-Instruct_test2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tapxc3/Qwen2-1.5B-Instruct_test2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16843351e639e5cc5a3a43fad7646d1d0bb26e00a544cb409f99fdf7c67e4724
- Size of remote file:
- 6.26 kB
- SHA256:
- d65d8052af1bf18f6f52bea6c80cb22c6a05c8d747e504af121db3a42af474ee
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