Instructions to use yeok/qwen-2.5-1.5B-instruct-sft-lora-countdown-deepseek-6k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yeok/qwen-2.5-1.5B-instruct-sft-lora-countdown-deepseek-6k with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yeok/qwen-2.5-1.5B-instruct-sft-lora-countdown-deepseek-6k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6dd42b710fc16014cbaec5049c1c9957968927f959a4b0d00437cca8baff45a1
- Size of remote file:
- 6.01 kB
- SHA256:
- 92d06aaa30db52faca98d5b84e9cc52ec8cf13f7de9ae270d63435cb2b7b24da
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.