Instructions to use cointeleporting/SmolLM2-1.7B-Instruct-thinking-function_calling-V0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cointeleporting/SmolLM2-1.7B-Instruct-thinking-function_calling-V0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cointeleporting/SmolLM2-1.7B-Instruct-thinking-function_calling-V0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7cb45955c4a445f0d2de246bd934c8d84a7ce496ebb97662d6e32fe885450666
- Size of remote file:
- 5.69 kB
- SHA256:
- e4861123b893c2c8fa0590995f75543965ce23f51c2438c9b24ab5bca8104d53
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.