Instructions to use trtd56/LFM2.5-1.2B-JP-bash-explainer-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trtd56/LFM2.5-1.2B-JP-bash-explainer-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("trtd56/LFM2.5-1.2B-JP-bash-explainer-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43719ec7dfe2dc8ff7a01ce093ae9a3e5368f9536aa2f01e06c83a03aebd102c
- Size of remote file:
- 5.71 kB
- SHA256:
- 36f3edb38eb1670fa3a56edbda0ff1f399cada8f7f6040681c4e4eaa94e61c4e
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