Translation
MLX
Safetensors
English
llama
text-generation
fine-tuning
lora
plain-english
literary
smollm2
Instructions to use Brandi-Kinard/plainspeak-smollm2-1.7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Brandi-Kinard/plainspeak-smollm2-1.7b with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir plainspeak-smollm2-1.7b Brandi-Kinard/plainspeak-smollm2-1.7b
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- d932b8390cf451b4a5cbcd7918bca0ad66e126afd8890d8956ea53c93404b600
- Size of remote file:
- 3.42 GB
- SHA256:
- a75e330cb0c99c5762b0bb8c3e3912c834c7c0d479d6ca1b2cb8c1652fab2b55
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