Instructions to use Space3767/SmolLMv3-function_calling-V0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Space3767/SmolLMv3-function_calling-V0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Space3767/SmolLMv3-function_calling-V0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5fbd7617a134ab109af7b49df2970da10073803e9ecf0d108d9ac11510686e20
- Size of remote file:
- 17.2 MB
- SHA256:
- ea829ac7da8d4a8e718ab88a83376c151097f50d2c92ff24eb2afa31fcfaa7c4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.