Instructions to use soumitsr/SmolLM2-360M-Instruct-article-digestor-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use soumitsr/SmolLM2-360M-Instruct-article-digestor-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("soumitsr/SmolLM2-360M-Instruct-article-digestor-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: soumitsr
- License: apache-2.0
- Finetuned from model : unsloth/SmolLM2-360M-Instruct
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for soumitsr/SmolLM2-360M-Instruct-article-digestor-lora
Base model
HuggingFaceTB/SmolLM2-360M Quantized
HuggingFaceTB/SmolLM2-360M-Instruct Finetuned
unsloth/SmolLM2-360M-Instruct
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("soumitsr/SmolLM2-360M-Instruct-article-digestor-lora", device_map="auto")