Instructions to use lovro77/smollm2-1.7b-netlograg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lovro77/smollm2-1.7b-netlograg with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lovro77/smollm2-1.7b-netlograg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: lovro77
- License: apache-2.0
- Finetuned from model : HuggingFaceTB/SmolLM2-1.7B-Instruct
This llama model was trained 2x faster with Unsloth
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Model tree for lovro77/smollm2-1.7b-netlograg
Base model
HuggingFaceTB/SmolLM2-1.7B Quantized
HuggingFaceTB/SmolLM2-1.7B-Instruct