Instructions to use debisoft/mistral-nemo-12b-base-thinking-function_calling-logic-capturing-V0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use debisoft/mistral-nemo-12b-base-thinking-function_calling-logic-capturing-V0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("debisoft/mistral-nemo-12b-base-thinking-function_calling-logic-capturing-V0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 907ec7abc023eb2c796ecb12efcb1609d1390f848f366def07ca922b05142530
- Size of remote file:
- 5.75 kB
- SHA256:
- d6d41f077f271131dc7e59d19e3e47a463f39cfa0f063cee23295af18e5320ac
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