Instructions to use ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-1.7B") model = PeftModel.from_pretrained(base_model, "ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c08d42058dfff08e32be7db217091fe8941397de33ea975e7ec2ac90afca4041
- Size of remote file:
- 6.78 kB
- SHA256:
- b02cdb91ec4f49bd47cfddcba33d34a63f274e24febde8552828e898cd9a0c16
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.