Instructions to use headless-start/peft-lora-llm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use headless-start/peft-lora-llm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="headless-start/peft-lora-llm")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("headless-start/peft-lora-llm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download results/baselines.png from headless-start/peft-lora-llm: direct link, hf CLI and curl.
- Browser
- Download file 41.7 kB
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https://huggingface.co/headless-start/peft-lora-llm/resolve/main/results/baselines.png
- Command line
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hf download hf://headless-start/peft-lora-llm/results/baselines.png
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curl -L -o baselines.png https://huggingface.co/headless-start/peft-lora-llm/resolve/main/results/baselines.png
41.7 kB
