Instructions to use Pranavz/lfm2-capy-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pranavz/lfm2-capy-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Pranavz/lfm2-capy-lora", device_map="auto") - PEFT
How to use Pranavz/lfm2-capy-lora with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Pranavz/lfm2-capy-lora: direct link, hf CLI and curl.
- Browser
- Download file 5.65 kB
-
https://huggingface.co/Pranavz/lfm2-capy-lora/resolve/main/training_args.bin
- Command line
-
hf download hf://Pranavz/lfm2-capy-lora/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Pranavz/lfm2-capy-lora/resolve/main/training_args.bin
5.65 kB
- Xet hash:
- 9c5c9fe9803a49850b42acfe61fbe420bf7b478ca172712a088d9f493b75ba62
- Size of remote file:
- 5.65 kB
- SHA256:
- dbf46869ef3d104ddec4121e456cf5faf6cc5551f5091d3ee5c8b655b18faf22
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