Instructions to use percepteyeAI/lfm-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use percepteyeAI/lfm-finetuned with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("percepteyeAI/lfm-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from percepteyeAI/lfm-finetuned: direct link, hf CLI and curl.
- Browser
- Download file 6.42 kB
-
https://huggingface.co/percepteyeAI/lfm-finetuned/resolve/main/training_args.bin
- Command line
-
hf download hf://percepteyeAI/lfm-finetuned/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/percepteyeAI/lfm-finetuned/resolve/main/training_args.bin
6.42 kB
- Xet hash:
- 44b39736ecef35ff2fa48ae4f6953442ef46474830a57fd22cd2926e4349d96c
- Size of remote file:
- 6.42 kB
- SHA256:
- 4da5843881eb4c3b16c3fb10a640d3314d38b31422c066d5d74ed6b35ec26ee3
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