Instructions to use thlurte/FastData-LM-1.5B-CodeMath-TaskArith-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thlurte/FastData-LM-1.5B-CodeMath-TaskArith-SFT with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thlurte/FastData-LM-1.5B-CodeMath-TaskArith-SFT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from thlurte/FastData-LM-1.5B-CodeMath-TaskArith-SFT: direct link, hf CLI and curl.
- Browser
- Download file 73.9 MB
-
https://huggingface.co/thlurte/FastData-LM-1.5B-CodeMath-TaskArith-SFT/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://thlurte/FastData-LM-1.5B-CodeMath-TaskArith-SFT/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/thlurte/FastData-LM-1.5B-CodeMath-TaskArith-SFT/resolve/main/adapter_model.safetensors
73.9 MB
- Xet hash:
- 096bb159d99d16c99e1df235baefcd9202189bf18d562d416407d97b0c66e68f
- Size of remote file:
- 73.9 MB
- SHA256:
- 3ba187d8a05aa6df18552c589f6413ff0416ab6c871b43fece0bb39ceae0f303
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