Instructions to use AdnanRiaz107/testm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AdnanRiaz107/testm with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct") model = PeftModel.from_pretrained(base_model, "AdnanRiaz107/testm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a10d8e0c7fbee386e7301987af9d9cb5e3219083d27dac5d952fae3d52c94ff
- Size of remote file:
- 4.92 kB
- SHA256:
- 40b928fab00ebecd7ff25c7eac4bcd55b82fda965ecb9ae06b25e3268731c961
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.