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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cointeleporting/SmolLM2-1.7B-Instruct-thinking-function_calling-V0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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base_model: HuggingFaceTB/SmolLM2-1.7B-Instruct
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library_name: transformers
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model_name: SmolLM2-1.7B-Instruct-thinking-function_calling
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tags:
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- generated_from_trainer
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- trl
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- sft
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licence: license
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---
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# Model Card for SmolLM2-1.7B-Instruct-thinking-function_calling-V0
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base_model: HuggingFaceTB/SmolLM2-1.7B-Instruct
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library_name: transformers
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model_name: SmolLM2-1.7B-Instruct-thinking-function_calling
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tags:
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- generated_from_trainer
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- trl
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- sft
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licence: license
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license: mit
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---
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# Model Card for SmolLM2-1.7B-Instruct-thinking-function_calling-V0
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