Instructions to use amm297/my_awesome_peft_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use amm297/my_awesome_peft_model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ybelkada/falcon-7b-sharded-bf16") model = PeftModel.from_pretrained(base_model, "amm297/my_awesome_peft_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00b65a5cb548658686708407a9f8d93c4d79406c6210729f2214fa206ea53a31
- Size of remote file:
- 75.5 MB
- SHA256:
- 334a0d9dbde8588e0a6238a8b17fbc2866126bd8e53dab5252c6fde8978a6abd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.