Instructions to use tarabukinivan/f23026ab-3731-43be-9da8-6a5f8535026a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tarabukinivan/f23026ab-3731-43be-9da8-6a5f8535026a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "tarabukinivan/f23026ab-3731-43be-9da8-6a5f8535026a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- adbcddf7a891cb30db1641de48096440ad6e84f5345793c0ae9fe3d76201092f
- Size of remote file:
- 14.2 kB
- SHA256:
- bbcb7350e6f7badaa842375dcfe363bace4f95510b2ff76b2e1bf21fbecd71e1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.