Instructions to use HydraHash/Qwen2.5-7B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HydraHash/Qwen2.5-7B-Instruct with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HydraHash/Qwen2.5-7B-Instruct", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0e1a5b3e5bc8910b0c3d85b45e04de8559d9172abcc0c99b7cf7bec0d90cd00
- Size of remote file:
- 5.82 kB
- SHA256:
- 2b963a285a79acb117d827bb2e0d792193275466f5a97b5ec70f3ceb29c67e22
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.