Text Generation
PEFT
Safetensors
lora
knowledge-graph-completion
link-prediction
biomedical
cold-start
conversational
Instructions to use BioRel/coldstart-lora-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BioRel/coldstart-lora-1b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B-Instruct") model = PeftModel.from_pretrained(base_model, "BioRel/coldstart-lora-1b") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from BioRel/coldstart-lora-1b: direct link, hf CLI and curl.
- Browser
- Download file 180 MB
-
https://huggingface.co/BioRel/coldstart-lora-1b/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://BioRel/coldstart-lora-1b/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/BioRel/coldstart-lora-1b/resolve/main/adapter_model.safetensors
180 MB
- Xet hash:
- 4256973242766c97dce46f1b12350865fccc6c76f3be71c33c8f4e57f50e7615
- Size of remote file:
- 180 MB
- SHA256:
- dd31cf8f472470ef702436475ffe313d822dd499b4e86dacbe8f180fce393a59
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.