Instructions to use Fischerboot/ger-lora-3k-checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Fischerboot/ger-lora-3k-checkpoint with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Aculi/Tinyllama-2B") model = PeftModel.from_pretrained(base_model, "Fischerboot/ger-lora-3k-checkpoint") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Fischerboot/ger-lora-3k-checkpoint: direct link, hf CLI and curl.
- Browser
- Download file 606 MB
-
https://huggingface.co/Fischerboot/ger-lora-3k-checkpoint/resolve/main/optimizer.pt
- Command line
-
hf download hf://Fischerboot/ger-lora-3k-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Fischerboot/ger-lora-3k-checkpoint/resolve/main/optimizer.pt
606 MB
- Xet hash:
- 6eccf4eaf0c15ff8f058b43888754d482a9efddc0f5ebe41377ff1bcc1c81f12
- Size of remote file:
- 606 MB
- SHA256:
- db6d9c93473d1069473cd7352e6a11b013376882ac2935bf47900ec9bcb4b11b
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