Instructions to use RJTPP/th_reasoning-01-deepseek1.5b-instuct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RJTPP/th_reasoning-01-deepseek1.5b-instuct with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RJTPP/th_reasoning-01-deepseek1.5b-instuct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 82fa60658ea1463674a135e3ac85d2dc0bfca9174f924b9b7f2cafc33bf4c32c
- Size of remote file:
- 11.4 MB
- SHA256:
- e20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.